The document discusses satellite image processing, detailing techniques for enhancing images from satellites and remote sensing, including resolution types and image segmentation. It describes various satellite image operators and Google Maps features, highlighting how these technologies assist in navigation and environmental assessment. Applications such as real-time processing of satellite images are also explored, emphasizing their use in consumer apps and geographic information retrieval.

1. SATELLITE IMAGE
PROCESSING
GUIDED BY:-BHUPEN KANUNGO
ALOK KUMAR SAMANTARAY
B.Sc. In ELECTRONICS & TELECOMMUNICATION
6th SEMESTER
Roll No:-2010ETC040
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2. CONTENTS
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Satellite Image Processing
Satellite Imagery
Remote Sensing
Methodology of Change Detection in Remote Sensing
Image Segmentation
Satellite Image Operators
Google Maps
Features of Google Maps
Applications
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3. WHAT IS SATELLITE IMAGE PROCESSING?
It is a technique to enhance raw images received from cameras or
sensors placed on satellites, space probes and aircrafts or pictures
taken in normal day to day life in various applications.
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4. SATELLITE IMAGERY
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5. SATELLITE IMAGERY
The resolution of the sensor defines the pixel size and the detail and
accuracy.
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Spatial resolution :It is the area on ground represented by each
Spatial resolution :It is the area on ground represented by each
pixel
pixel
Temporal resolution :: It tells how often a satellite obtaining
Temporal resolution It tells how often a satellite obtaining
imagery of particular area.
imagery of particular area.
Spectral resolution :: It is the specific wavelength interval in
Spectral resolution It is the specific wavelength interval in
electromagnetic spectrum.
electromagnetic spectrum.
Radiometric resolution :: It tells how the sensor changes brightness
Radiometric resolution It tells how the sensor changes brightness
of object .. It’s range is expressed as power of 2^n.
of object It’s range is expressed as power of 2^n.
View angle resolution: Number of angles at which ground objects
View angle resolution: Number of angles at which ground objects
are recorded.
are recorded.
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6. REMOTE SENSING
Remote sensors are devices that sense energy from remote
location.
• Remote sensing is the science of acquiring , processing and
interpreting information or data collected by remote sensors.
• This technology is very useful to capture condition of surface
ground with high resolution and direct visual assessment
suffered regions.
• In 2004 tsumani was assessed by IKONOS and Quickbird
information resources.
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7. METHODOLOGY FOR CHANGE DETECTION OF REMOTE
SENSING
IMAGE ALGEBRA:
It identifies the amount of change between pre and post event images.
D(i,j,k)=BV(i,j,k)[1]-BV(i,j,k)[2]+c
where
D(i, j,k ):-change pixel value
BV(i,j,k)[1]:-brightness value at time1
BV(i,j,k)[2]:-brightness value at time2
c:-constant
i:-row index
j:-column index
k:-single band
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8. Image segmentation is the appropriate
Image segmentation is the appropriate
strategy to acquire image objects.
strategy to acquire image objects.
It divides an image into spatially continuous , ,
It divides an image into spatially continuous
disjoint and homogeneous regions on the
disjoint and homogeneous regions on the
basis of homogeneity and these regions are
basis of homogeneity and these regions are
referred to as IOs.
referred to as IOs.
IMAGE SEGMENTATION
IMAGE SEGMENTATION
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9. SATELLITE IMAGE OPERATORS
SATELLITE IMAGE OPERATORS
Arithmetic operators: addition,subtraction,multiplication,division ,
exponent,compliment and negation.
• Spatial transformation:blurring,convolution,
• 1.Arithmetic and filtering.
sharpening operators: Addition ,subtraction ,multiplication , division ,
exponent , compliment and negation.
Edge,line and spot detection performs gradient transformation.
2.Spatial transformation:Blurring,sharpening and filtering.
Colour conversion operator:Transform the image from one color model to
3.Edge , line and spot detection performs gradient transformation.
another color model.
4.Colour conversion operator:Transform the image from one color model
Geometric transformation:rotation,scale and wrap.
to another color model.
5.Geometric transformation: Rotation , scale and wrap.
Forward and inverse fourier transformation
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10. GOOGLE MAPS
A web mapping service application and
technology provided by google that powers
many map based services.
Provides high resolution aerial or satellite
images for most urban areas.
Download Map Area: Enables the user to
download the basic road map. It can download
up to 26 sq.km from the spot.
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11. Various governments have complained that the terrorist attacks are planned using
satellite images so google has blurred some areas for security like U.S.Naval Base
and White House.
According to 2012 survey it has provided voice guidance and live traffic
information in cities of Bengaluru, Mumbai, New Delhi, Chennai, Pune and
Hyderabad.
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12. FEATURES OF GOOGLE MAPS
Navigation
Navigation
Search in plain English
Search in plain English
Search by voice
Search by voice
Traffic view
Traffic view
Satellite view
Satellite view
Street view
Street view
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13. APPLICATION
APPLICATION
• The realtime processing of satellite images on grid
architectures could reveal geographic and environmental
Satellite imaging soil,vegetation,water-depth and google
information. e.g., is prevelant in many consumer apps today .e.g.air.
maps,google earth , GPS cars.
• EMAN -a bio-imagining workflow application.
The real time processing of satellite images on grid architectures could
• Pegasus-mapping engine of dataflow. e.g., soil,vegetation,
reveal geographic and environmental information.
water-depth and air.
• Geoeye 1-satellite launched in 2008 has highest resolution .
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• EROSPegasus-mapping engine of dataflow. highest resolution .
satellites are light weight,has
Geoeye 1-satellite launched in 2008 has high resolution and
high performance. light weight,has high resolution and high
EROS satellites are
• Meteo-sat 2 is a geostationary weather satellite.
performance.
Meteo-sat 2 is a geostationary weather satellite.
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