COURSE LAYOUT
Week-1:
What is satellite based remote sensing?
Development of remote sensing technology and advantages
Different platforms of remote sensing
EM spectrum, solar reflection and thermal emission remote sensing
Interaction of EM radiation with atmosphere including atmospheric scattering, absorption and emission
Week-2:
Interaction mechanisms of EM radiation with ground, spectral response curves
Principles of image interpretation
Multi-spectral scanners and imaging devices
Salient characteristics of LANDSAT, IRS, Cartosat, ResourceSat etc. sensors
Image characteristics and different resolutions in Remote Sensing
Week-3:
Image interpretation of different geological landforms, rock types and structures
Remote Sensing integration with GIS and GPS
Georeferencing Technique
Basic image enhancement techniques
Spatial filtering techniques
Week-4:
Image classification techniques
InSAR Technique and its applications
Hyperspectral Remote Sensing
Integrated applications of RS and GIS in groundwater studies
Limitations of Remote Sensing Technique
Week-5:
What is a remote sensing image and how it is represented?
Different techniques of Image acquisition
Why is digital image processing important?
Image characteristics and different resolutions in Remote Sensing
EM spectrum, solar reflection and thermal emission remote sensing
Week-6:
Colour representations and transforms
Image Histograms and statistics
Geometric transformations /Georeferencing Technique
Image enhancement techniques I
Image enhancement techniques -II
Week-7:
Multispectral transforms: scatter plot, principal component analysis and decorrelation stretch
Spatial filtering techniques
Frequency domain - Fourier transformation
Basic Image Compression techniques and different image file formats
Image classification techniques
Week-8:
Principles of image interpretation
SAR Interferometry (InSAR) Technique
Image merging and mosaicking techniques
Applications of Image Analysis
Limitations and future of Digital Image Processing Technique