NOC:Digital Image Processing of Remote Sensing Data


Lecture 1 - Remote-sensing Image and How it is represented


Lecture 2 - Different Techniques of Image Acquisition


Lecture 3 - Why is Digital Image processing Important ?


Lecture 4 - Image characteristics and Different Resolutions in Remote Sensing


Lecture 5 - Electromagnetic spectrum, solar reflection, and thermal emission


Lecture 6 - Color Representation and Transformations


Lecture 7 - Image histograms and statistics


Lecture 8 - Geo-referencing Techniques


Lecture 9 - Image Enhancement Techniques part 1


Lecture 10 - Image Enhancement Techniques part 2


Lecture 11 - Multispectral Transform, Scatter Plot, Principal Component Analysis and Decorrelation Stretch


Lecture 12 - Spatial Filtering Techniques


Lecture 13 - Frequency Domain Fourier Transformation


Lecture 14 - Basic Image Compression Techniques and Different Image File Formats


Lecture 15 - Image Classification Techniques


Lecture 16 - Principles of Image Interpretation


Lecture 17 - SAR Interferometry (InSAR) Techniques


Lecture 18 - Image Merging and Image Mosaicing Techniques


Lecture 19 - Application of Image Analysis


Lecture 20 - Limitations and Future of Digital Image Processing