SlideShare a Scribd company logo
Presented By:Ramesh Adhikari,Sachin Dhami,Sachit baral,Sagar
Adhikari,Sagar Raj Giri, Sandeep Kadel
FOURIER TRANSFORMATION & ITS APPLICATION IN
GEOMATICS ENGINEERING
Introduction
● Fourier Transform is the extension of Fourier Series
represented by the periodic phenomena to the non-periodic
phenomena.
● Fourier Transform is a mathematical operation that
decomposes a signal into its constituent frequencies.
● Thus the Fourier Transform of a musical chord is a
mathematical representation of the amplitudes of the individual
nodes that make it up.
History
● Named in honour of Jean-Baptiste Joseph Fourier.
● Preliminary investigation were made by Leonhard
Euler,Jean le Rond d’Alembert and Daniel Bernoulli.
● Fourier introduced the series for purpose of solving the
heat equation in a metal plate publishing his initial result
in 1807.
● The 1st announcement of this great discovery was made
in 1807 by Fourier.
What is Fourier Transform?
● Fourier Transform is a mathematical transformation
employed to transform signals between time(or spatial)
domain and frequency domain.
● It is a tool that breaks a waveform (a function or signal)
into an alternate representation, character by sine and
cosine .
● It shows that any waveforms can be re written as the
weighted sum of sinusoidal function.
to be contd….
PROPERTIES
● The Fourier transform of F(u) of a single variable,continuous function,f(x)
● The fourier transform of F(u,v) of a double variable,continuous function,f(x,y)
Geomatics
● Geomatics is defined as the "discipline concerned with the
collection, distribution, storage, analysis, processing,
presentation of geographic data or geographic information".
● Under another definition it "consists of products, services and
tools involved in the collection, integration and management of
geographic data.
● It includes geomatics engineering(and surveying
engineering) and is related to geospatial science (also
geospatial engineering and geospatial technology).
● Geomatics Engineering, Geomatic Engineering,
Geospatial Engineering is a rapidly developing engineering
discipline that focuses on spatial information (i.e. information
that has a location).
● It includes discipline incorporating fields such as surveying,
geographic information systems, hydrography and
cartography.
● It is concerned with the measurement, management, analysis
and display of spatial information describing the Earth, its
physical features and the built environment.
Application of Fourier Transform in
Geomatics engineering
● Fourier transform is used for detecting multitemporal
landscape fragmentation by remote sensing.
Remote sensing is a useful tool for detecting landscape
fragmentation, typically by creating land use maps from remotely
sensed images acquired at different dates.
● Fourier Transform is used in image processing.
To Get an Original Satellite Image without Applying the SRM
or 180 Degree Rotation.
At first, take the real part or logarithm of the Fourier transform of
the image function for getting the magnitude of the image and then
take the imaginary part of Fourier transform of the image function
for getting the phase of the image. After getting the phase of the
image, take the inverse function of the same and then only we will
get the original satellite image. It will be possible to get everything
all together when we will compile these applications together in a
computer programing by the representation of software.
❑ The majorexplorationtoolusedbythe oilandgasindustryfor
locatingnewhydrocarbonreservesisthe seismicreflectionmethod.
This techniqueenablessubsurfacesedimentaryrock layersto be
mapped,frommeasurementsof the amplitudeandreflectiontimesof
eventsobtainedbythe reflectionof seismic(sound)wavesfromthe
layers.
FIG: Seismicreflection method
The datarecordedat the receiversundergoesextensiveDSPto
produceaseismicsectionwhichisarepresentationofacrosssectionof
the Earth. This isthen interpreted in terms of what the research/data
waslookingfor. The Fast Fouriertransformisusedto convertthe
signalinto the Frequencydomain,whereconvolutionbetweentwo
signalsisobtainedsimplymultiplyingthemtogether. Onceagainthe
FourierTransformisusedasatoolinDigitalSignalProcessingto
performother operations, rather thanproducinganend resultitself.
★ Identification of Earthquake Induced Damage Areas Using
Fourier Transform and SPOT HRVIR(high resolution visible
infrared) Pan Images.
The aim of this study is to propose a new approach to automatically identify
earthquake induced damage areas which can provide valuable information to support
emergency response and recovery assessment procedures.
Five steps were employed to conduct the research and these are: (i) geometric and
radiometric correction of satellite images, (ii) Fast Fourier Transform (FFT) of pre-
and post-earthquake images and filtering the images in frequency domain, (iii)
generating difference image using Inverse Fast Fourier Transform (IFFT) pre- and
post- earthquake images, (iv) application of level slicing to difference image to
identify the earthquake-induced damages, (v) accuracy assessment of the method
using ground truth obtained from a 1/5,000 scale damage map. The total accuracy
obtained in the research is 80.19 %.
CONCLUSION
● What is the purpose of education if it cannot be used in
the real life.
● the geomatics engineer can be involved in an extremely
wide variety of information gathering activities and
applications.
● We found the FT to be a great example of why math-
anxiety is such a pity - far from making life complicated,
so very often, math makes this much much simpler!
● A Fourier Transform does not create or destroy any
information. It just lets you look at exactly the same data
in another light, as it were.
● Identification of Earthquake Induced Damage Areas
● the oilandgasindustryfor locatingnewhydrocarbonreserves
isthe seismicreflection method
● for detecting multitemporal landscape fragmentation by
remote sensing.
THANK YOU…..
Every one for your time.
Have a good day.
Reference:
Wikipidea
Quora.com
Slideshare.net

More Related Content

What's hot

Fourier transforms
Fourier transformsFourier transforms
Fourier transforms
Iffat Anjum
 
Introduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSPIntroduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSP
Hicham Berkouk
 
Auto correlation and cross-correlation
Auto correlation and cross-correlationAuto correlation and cross-correlation
Auto correlation and cross-correlation
Mrinmoy Majumder
 
Fourier series and applications of fourier transform
Fourier series and applications of fourier transformFourier series and applications of fourier transform
Fourier series and applications of fourier transform
Krishna Jangid
 
Image transforms
Image transformsImage transforms
Image transforms
11mr11mahesh
 
Application of fourier series
Application of fourier seriesApplication of fourier series
Application of fourier series
Girish Dhareshwar
 
An introduction to discrete wavelet transforms
An introduction to discrete wavelet transformsAn introduction to discrete wavelet transforms
An introduction to discrete wavelet transforms
Lily Rose
 
Robotics PPT (1).pptx
Robotics PPT (1).pptxRobotics PPT (1).pptx
Robotics PPT (1).pptx
SHRIKRISHNAPATIDAR
 
discrete wavelet transform
discrete wavelet transformdiscrete wavelet transform
discrete wavelet transform
piyush_11
 
Structures for discrete time systems
Structures for discrete time systemsStructures for discrete time systems
Structures for discrete time systems
veda C
 
Lecture 13 (Usage of Fourier transform in image processing)
Lecture 13 (Usage of Fourier transform in image processing)Lecture 13 (Usage of Fourier transform in image processing)
Lecture 13 (Usage of Fourier transform in image processing)
VARUN KUMAR
 
Differential kinematics robotic
Differential kinematics  roboticDifferential kinematics  robotic
Differential kinematics robotic
dahmane sid ahmed
 
Sampling
SamplingSampling
SPEECH CODING
SPEECH CODINGSPEECH CODING
SPEECH CODING
Shradheshwar Verma
 
Chapter 2 robot kinematics
Chapter 2   robot kinematicsChapter 2   robot kinematics
Chapter 2 robot kinematics
nguyendattdh
 
Laplace transform
Laplace transformLaplace transform
Laplace transform
kishor pokar
 
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications IDSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
Amr E. Mohamed
 
Mobile Robot Vechiles
Mobile Robot VechilesMobile Robot Vechiles
Mobile Robot Vechiles
cairo university
 
Genetic algorithm ppt
Genetic algorithm pptGenetic algorithm ppt
Genetic algorithm ppt
Mayank Jain
 
Convolution&Correlation
Convolution&CorrelationConvolution&Correlation
Convolution&Correlation
VenkateshPrasadV1
 

What's hot (20)

Fourier transforms
Fourier transformsFourier transforms
Fourier transforms
 
Introduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSPIntroduction to Wavelet Transform with Applications to DSP
Introduction to Wavelet Transform with Applications to DSP
 
Auto correlation and cross-correlation
Auto correlation and cross-correlationAuto correlation and cross-correlation
Auto correlation and cross-correlation
 
Fourier series and applications of fourier transform
Fourier series and applications of fourier transformFourier series and applications of fourier transform
Fourier series and applications of fourier transform
 
Image transforms
Image transformsImage transforms
Image transforms
 
Application of fourier series
Application of fourier seriesApplication of fourier series
Application of fourier series
 
An introduction to discrete wavelet transforms
An introduction to discrete wavelet transformsAn introduction to discrete wavelet transforms
An introduction to discrete wavelet transforms
 
Robotics PPT (1).pptx
Robotics PPT (1).pptxRobotics PPT (1).pptx
Robotics PPT (1).pptx
 
discrete wavelet transform
discrete wavelet transformdiscrete wavelet transform
discrete wavelet transform
 
Structures for discrete time systems
Structures for discrete time systemsStructures for discrete time systems
Structures for discrete time systems
 
Lecture 13 (Usage of Fourier transform in image processing)
Lecture 13 (Usage of Fourier transform in image processing)Lecture 13 (Usage of Fourier transform in image processing)
Lecture 13 (Usage of Fourier transform in image processing)
 
Differential kinematics robotic
Differential kinematics  roboticDifferential kinematics  robotic
Differential kinematics robotic
 
Sampling
SamplingSampling
Sampling
 
SPEECH CODING
SPEECH CODINGSPEECH CODING
SPEECH CODING
 
Chapter 2 robot kinematics
Chapter 2   robot kinematicsChapter 2   robot kinematics
Chapter 2 robot kinematics
 
Laplace transform
Laplace transformLaplace transform
Laplace transform
 
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications IDSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
DSP_FOEHU - Lec 13 - Digital Signal Processing Applications I
 
Mobile Robot Vechiles
Mobile Robot VechilesMobile Robot Vechiles
Mobile Robot Vechiles
 
Genetic algorithm ppt
Genetic algorithm pptGenetic algorithm ppt
Genetic algorithm ppt
 
Convolution&Correlation
Convolution&CorrelationConvolution&Correlation
Convolution&Correlation
 

Similar to Fourier transform and its application in geomatics enginnering

Presentation (5).pptx
Presentation (5).pptxPresentation (5).pptx
Presentation (5).pptx
20TUEC227SUJITHRAC
 
Nabaa
NabaaNabaa
Remote sensing overview
Remote sensing overviewRemote sensing overview
Remote sensing overview
SVKM'S IOT DHULE
 
CVT Presentation Hamza Tahir.pptx
CVT Presentation Hamza Tahir.pptxCVT Presentation Hamza Tahir.pptx
CVT Presentation Hamza Tahir.pptx
HamzaTahirIqbal
 
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdffouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
souravriku12
 
Multi sensor data fusion for change detection
Multi sensor data fusion for change detectionMulti sensor data fusion for change detection
Multi sensor data fusion for change detection
sanu sharma
 
IRJET- A Brief Study on Fourier Transform and its Applications
IRJET- A Brief Study on Fourier Transform and its ApplicationsIRJET- A Brief Study on Fourier Transform and its Applications
IRJET- A Brief Study on Fourier Transform and its Applications
IRJET Journal
 
Lec 07 image enhancement in frequency domain i
Lec 07 image enhancement in frequency domain iLec 07 image enhancement in frequency domain i
Lec 07 image enhancement in frequency domain i
Ali Hassan
 
Fourier Transforms are indispensable tool
Fourier Transforms are indispensable toolFourier Transforms are indispensable tool
Fourier Transforms are indispensable tool
CUO VEERANAN VEERANAN
 
In this task, I want you to verify that the phase response of Fourie.pdf
In this task, I want you to verify that the phase response of Fourie.pdfIn this task, I want you to verify that the phase response of Fourie.pdf
In this task, I want you to verify that the phase response of Fourie.pdf
aimdeals045
 
FTIR spectroscopy
FTIR spectroscopyFTIR spectroscopy
FTIR spectroscopy
Preeti Choudhary
 
Remote sensing 311
Remote sensing 311Remote sensing 311
Remote sensing 311
Hafez Ahmad
 
Data Science - Part XVI - Fourier Analysis
Data Science - Part XVI - Fourier AnalysisData Science - Part XVI - Fourier Analysis
Data Science - Part XVI - Fourier Analysis
Derek Kane
 
Ground Penetrating Radar (GPR)
Ground Penetrating Radar (GPR) Ground Penetrating Radar (GPR)
Ground Penetrating Radar (GPR)
Abhijit Patil
 
Fourier_Analysis
Fourier_AnalysisFourier_Analysis
Fourier_Analysis
Matthew Johnson
 
fouriertransform.pdf
fouriertransform.pdffouriertransform.pdf
fouriertransform.pdf
ShamsAli42
 
EC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transformEC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transform
NimithaSoman
 
Remote+Sensing
Remote+SensingRemote+Sensing
Lecture 1 introdcution to engineering surveying
Lecture 1 introdcution to engineering surveyingLecture 1 introdcution to engineering surveying
Lecture 1 introdcution to engineering surveying
Sarhat Adam
 
Ij3514631467
Ij3514631467Ij3514631467
Ij3514631467
IJERA Editor
 

Similar to Fourier transform and its application in geomatics enginnering (20)

Presentation (5).pptx
Presentation (5).pptxPresentation (5).pptx
Presentation (5).pptx
 
Nabaa
NabaaNabaa
Nabaa
 
Remote sensing overview
Remote sensing overviewRemote sensing overview
Remote sensing overview
 
CVT Presentation Hamza Tahir.pptx
CVT Presentation Hamza Tahir.pptxCVT Presentation Hamza Tahir.pptx
CVT Presentation Hamza Tahir.pptx
 
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdffouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
fouriertransformsiffatanjum-141026230143-conversion-gate01.pdf
 
Multi sensor data fusion for change detection
Multi sensor data fusion for change detectionMulti sensor data fusion for change detection
Multi sensor data fusion for change detection
 
IRJET- A Brief Study on Fourier Transform and its Applications
IRJET- A Brief Study on Fourier Transform and its ApplicationsIRJET- A Brief Study on Fourier Transform and its Applications
IRJET- A Brief Study on Fourier Transform and its Applications
 
Lec 07 image enhancement in frequency domain i
Lec 07 image enhancement in frequency domain iLec 07 image enhancement in frequency domain i
Lec 07 image enhancement in frequency domain i
 
Fourier Transforms are indispensable tool
Fourier Transforms are indispensable toolFourier Transforms are indispensable tool
Fourier Transforms are indispensable tool
 
In this task, I want you to verify that the phase response of Fourie.pdf
In this task, I want you to verify that the phase response of Fourie.pdfIn this task, I want you to verify that the phase response of Fourie.pdf
In this task, I want you to verify that the phase response of Fourie.pdf
 
FTIR spectroscopy
FTIR spectroscopyFTIR spectroscopy
FTIR spectroscopy
 
Remote sensing 311
Remote sensing 311Remote sensing 311
Remote sensing 311
 
Data Science - Part XVI - Fourier Analysis
Data Science - Part XVI - Fourier AnalysisData Science - Part XVI - Fourier Analysis
Data Science - Part XVI - Fourier Analysis
 
Ground Penetrating Radar (GPR)
Ground Penetrating Radar (GPR) Ground Penetrating Radar (GPR)
Ground Penetrating Radar (GPR)
 
Fourier_Analysis
Fourier_AnalysisFourier_Analysis
Fourier_Analysis
 
fouriertransform.pdf
fouriertransform.pdffouriertransform.pdf
fouriertransform.pdf
 
EC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transformEC8352- Signals and Systems - Unit 2 - Fourier transform
EC8352- Signals and Systems - Unit 2 - Fourier transform
 
Remote+Sensing
Remote+SensingRemote+Sensing
Remote+Sensing
 
Lecture 1 introdcution to engineering surveying
Lecture 1 introdcution to engineering surveyingLecture 1 introdcution to engineering surveying
Lecture 1 introdcution to engineering surveying
 
Ij3514631467
Ij3514631467Ij3514631467
Ij3514631467
 

Recently uploaded

BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
MIGUELANGEL966976
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
Madan Karki
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
jpsjournal1
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
zubairahmad848137
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
MDSABBIROJJAMANPAYEL
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
IJECEIAES
 
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
ecqow
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
RamonNovais6
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
Mahmoud Morsy
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
Victor Morales
 
Material for memory and display system h
Material for memory and display system hMaterial for memory and display system h
Material for memory and display system h
gowrishankartb2005
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
KrishnaveniKrishnara1
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
gerogepatton
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
IJECEIAES
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
171ticu
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
IJECEIAES
 
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptxLiterature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
Dr Ramhari Poudyal
 
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION for seminar ppt.pdfBRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION for seminar ppt.pdf
LAXMAREDDY22
 
john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
Madan Karki
 

Recently uploaded (20)

BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdfBPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
BPV-GUI-01-Guide-for-ASME-Review-Teams-(General)-10-10-2023.pdf
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
 
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECTCHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 
Casting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdfCasting-Defect-inSlab continuous casting.pdf
Casting-Defect-inSlab continuous casting.pdf
 
Properties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptxProperties Railway Sleepers and Test.pptx
Properties Railway Sleepers and Test.pptx
 
Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...Advanced control scheme of doubly fed induction generator for wind turbine us...
Advanced control scheme of doubly fed induction generator for wind turbine us...
 
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
 
Certificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi AhmedCertificates - Mahmoud Mohamed Moursi Ahmed
Certificates - Mahmoud Mohamed Moursi Ahmed
 
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsKuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
 
Material for memory and display system h
Material for memory and display system hMaterial for memory and display system h
Material for memory and display system h
 
22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt22CYT12-Unit-V-E Waste and its Management.ppt
22CYT12-Unit-V-E Waste and its Management.ppt
 
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODELDEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
 
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
 
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoringEmbedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
 
Literature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptxLiterature Review Basics and Understanding Reference Management.pptx
Literature Review Basics and Understanding Reference Management.pptx
 
BRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION for seminar ppt.pdfBRAIN TUMOR DETECTION for seminar ppt.pdf
BRAIN TUMOR DETECTION for seminar ppt.pdf
 
john krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptxjohn krisinger-the science and history of the alcoholic beverage.pptx
john krisinger-the science and history of the alcoholic beverage.pptx
 

Fourier transform and its application in geomatics enginnering

  • 1.
  • 2. Presented By:Ramesh Adhikari,Sachin Dhami,Sachit baral,Sagar Adhikari,Sagar Raj Giri, Sandeep Kadel FOURIER TRANSFORMATION & ITS APPLICATION IN GEOMATICS ENGINEERING
  • 3. Introduction ● Fourier Transform is the extension of Fourier Series represented by the periodic phenomena to the non-periodic phenomena. ● Fourier Transform is a mathematical operation that decomposes a signal into its constituent frequencies. ● Thus the Fourier Transform of a musical chord is a mathematical representation of the amplitudes of the individual nodes that make it up.
  • 4. History ● Named in honour of Jean-Baptiste Joseph Fourier. ● Preliminary investigation were made by Leonhard Euler,Jean le Rond d’Alembert and Daniel Bernoulli. ● Fourier introduced the series for purpose of solving the heat equation in a metal plate publishing his initial result in 1807. ● The 1st announcement of this great discovery was made in 1807 by Fourier.
  • 5. What is Fourier Transform? ● Fourier Transform is a mathematical transformation employed to transform signals between time(or spatial) domain and frequency domain. ● It is a tool that breaks a waveform (a function or signal) into an alternate representation, character by sine and cosine . ● It shows that any waveforms can be re written as the weighted sum of sinusoidal function. to be contd….
  • 6.
  • 7. PROPERTIES ● The Fourier transform of F(u) of a single variable,continuous function,f(x) ● The fourier transform of F(u,v) of a double variable,continuous function,f(x,y)
  • 8. Geomatics ● Geomatics is defined as the "discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information". ● Under another definition it "consists of products, services and tools involved in the collection, integration and management of geographic data. ● It includes geomatics engineering(and surveying engineering) and is related to geospatial science (also geospatial engineering and geospatial technology).
  • 9. ● Geomatics Engineering, Geomatic Engineering, Geospatial Engineering is a rapidly developing engineering discipline that focuses on spatial information (i.e. information that has a location). ● It includes discipline incorporating fields such as surveying, geographic information systems, hydrography and cartography. ● It is concerned with the measurement, management, analysis and display of spatial information describing the Earth, its physical features and the built environment.
  • 10. Application of Fourier Transform in Geomatics engineering ● Fourier transform is used for detecting multitemporal landscape fragmentation by remote sensing. Remote sensing is a useful tool for detecting landscape fragmentation, typically by creating land use maps from remotely sensed images acquired at different dates. ● Fourier Transform is used in image processing.
  • 11.
  • 12. To Get an Original Satellite Image without Applying the SRM or 180 Degree Rotation. At first, take the real part or logarithm of the Fourier transform of the image function for getting the magnitude of the image and then take the imaginary part of Fourier transform of the image function for getting the phase of the image. After getting the phase of the image, take the inverse function of the same and then only we will get the original satellite image. It will be possible to get everything all together when we will compile these applications together in a computer programing by the representation of software.
  • 13.
  • 14. ❑ The majorexplorationtoolusedbythe oilandgasindustryfor locatingnewhydrocarbonreservesisthe seismicreflectionmethod. This techniqueenablessubsurfacesedimentaryrock layersto be mapped,frommeasurementsof the amplitudeandreflectiontimesof eventsobtainedbythe reflectionof seismic(sound)wavesfromthe layers. FIG: Seismicreflection method
  • 15. The datarecordedat the receiversundergoesextensiveDSPto produceaseismicsectionwhichisarepresentationofacrosssectionof the Earth. This isthen interpreted in terms of what the research/data waslookingfor. The Fast Fouriertransformisusedto convertthe signalinto the Frequencydomain,whereconvolutionbetweentwo signalsisobtainedsimplymultiplyingthemtogether. Onceagainthe FourierTransformisusedasatoolinDigitalSignalProcessingto performother operations, rather thanproducinganend resultitself.
  • 16. ★ Identification of Earthquake Induced Damage Areas Using Fourier Transform and SPOT HRVIR(high resolution visible infrared) Pan Images. The aim of this study is to propose a new approach to automatically identify earthquake induced damage areas which can provide valuable information to support emergency response and recovery assessment procedures. Five steps were employed to conduct the research and these are: (i) geometric and radiometric correction of satellite images, (ii) Fast Fourier Transform (FFT) of pre- and post-earthquake images and filtering the images in frequency domain, (iii) generating difference image using Inverse Fast Fourier Transform (IFFT) pre- and post- earthquake images, (iv) application of level slicing to difference image to identify the earthquake-induced damages, (v) accuracy assessment of the method using ground truth obtained from a 1/5,000 scale damage map. The total accuracy obtained in the research is 80.19 %.
  • 17. CONCLUSION ● What is the purpose of education if it cannot be used in the real life. ● the geomatics engineer can be involved in an extremely wide variety of information gathering activities and applications. ● We found the FT to be a great example of why math- anxiety is such a pity - far from making life complicated, so very often, math makes this much much simpler!
  • 18. ● A Fourier Transform does not create or destroy any information. It just lets you look at exactly the same data in another light, as it were. ● Identification of Earthquake Induced Damage Areas ● the oilandgasindustryfor locatingnewhydrocarbonreserves isthe seismicreflection method ● for detecting multitemporal landscape fragmentation by remote sensing.
  • 19. THANK YOU….. Every one for your time. Have a good day. Reference: Wikipidea Quora.com Slideshare.net