The document discusses image analysis using Python, particularly within the field of geomatics engineering, which involves the management of spatially referenced data. It covers various image processing techniques including rectification, classification, and filtering, along with the use of libraries like GDAL and OpenCV. Additionally, it acknowledges contributors and provides references for further study.

1. IMAGE ANALYSIS IN PYTHON
Charmyne Mamador

2. OBJECTIVE
Python
Geomatics
Image processing
Awesome!

3. Senior BS Geodetic Engineering in UP Diliman
Student Assistant, UP3dGIS Project, Department
of Geodetic Engineering
Dormer

4. OVERVIEW

5. WHAT IS AN IMAGE?
Each pixels
Your Image
Have pixels
R
G
B
Values

6. USES OF AN IMAGE
SECURITY

7. USES OF AN IMAGE
DISASTER MIGATION AND ASSESSMENT

8. USES OF AN IMAGE
Advertisements, Business and more!

9. WHAT IS GEOMATICS?
Geomatics Engineering is a modern discipline, which integrates
acquisition, modelling, analysis, and management of spatially
referenced data, i.e. data identified according to their locations.
Based on the scientific framework of geodesy, it uses terrestrial,
marine, airborne, and satellite-based sensors to acquire spatial and
other data. It includes the process of transforming spatially referenced
data from different sources into common information systems with
well-defined accuracy characteristics.

10. PHOTOGRAMMETRY

11. REMOTE SENSING

12. REMOTE SENSING

13. IMAGE PROCESSING TECHNIQUES
RECTIFICATION/TRANSFORMATION

14. IMAGE PROCESSING TECHNIQUES
RECTIFICATION/TRANSFORMATION

15. IMAGE PROCESSING TECHNIQUES
CLASSIFICATION

16. IMAGE PROCESSING TECHNIQUES
MASKING

17. IMAGE PROCESSING TECHNIQUES
MASKING

18. IMAGE PROCESSING TECHNIQUES
CORRELATION

19. IMAGE PROCESSING TECHNIQUES
CORRELATION

20. IMAGE PROCESSING TECHNIQUES
FILTERING

21. IMAGE PROCESSING TECHNIQUES
BAND MATH

22. IMAGE PROCESSING TECHNIQUES
BAND MATH

23. IMAGING LIBRARIES
Python Imaging Library
Optik
OpenCV

24. Translator library for raster
geospatial data formats that is
released under an X/MIT style Open
Source license by the Open Source
Geospatial Foundation.

25. SOFTWARES/PROJECTS IN GDAL

26. NUMPY
ar·ray [uh-rey]

27. BASIC IMAGE MANIPULATION
Median Filter
Sepia Filter
Grayscale Filter
Vignette
Resampling

34. GDAL SCRIPT PROCESS
Import libraries
Load drivers
Open File
Read Files (by block)
Manipulate using Numpy
Create output file
Write Files (Don’t forget to flush)

35. ACKNOWLEDGEMENTS
Asst. Prof. Marx Tupas
Asst. Prof. Wilfredo Rada
Engr. Ranel Padon a.k.a. Dark Templar
Ian Panganiban
Random Inspirational Videos on YouTube :)
DILNET for internet connection
Owners of the pictures I used <3 You guys are
awesome!

36. REFERENCES
GmE 205 Lectures/Exercises
The Internet for pictures and everything
Random people I talked to :)

37. MERCI!
IMAGE ANALYSIS IN PYTHON
Charmyne Mamador