GI3413 Digital Image Processing Laboratory Syllabus:

GI3413 Digital Image Processing Laboratory Syllabus – Anna University Regulation 2021

COURSE OBJECTIVES:

 To familiarize the undergraduate level students in the regular Image Processing Software.

EXCERCISES:

1. Image reading and writing
2. Pre-processing techniques: radiometric correction
3. Random and Periodic Noise removal
4. Pre-processing techniques: Ground control and rectification
5. Enhancements – histogram, filters
6. Band ratioing and normalization – NDVI, SAVI & NDWI
7. PCA
8. Image fusion
9. Classification –supervised &unsupervised
10. Sub pixel classification
11. Classification using Neural Network and Fuzzy Logic
12. Accuracy assessment – correlation, RMSE & kappa
13. Crop conditioning assessment/ inundation damage assessment/ forest fire/ change dynamic analysis

TOTAL: 60 PERIODS
COURSE OUTCOMES:

On completion of the course, the student is expected to
CO1 Enhance satellite imagery through filtering, band ratioing , PCA etc
CO2 Georeference and project the satellite imagery
CO3 Classify and assess accuracy of classification.
CO4 Perform advanced classifier
CO5 Carry out mini project in any of the application

TEXT BOOK

1. Richards, Remote sensing digital Image Analysis –An Introduction Springer-Verlag1993.