Course Outline: In depth understanding of image processing, analysis
and interpretation. Topics include human vision and colour, the
construction, arithmetic operations, empirically based image
transformations, filtering of images, discrete fourier transformations,
principal components analysis, and spatial modeling, advanced image
classifications such as fuzzy classifications, neural classifiers, spatial
and spectral segmentation, sub pixel classification. SAR interferometry,
applications of SAR interferometry, image spectrometry, Feature
Extraction from Hyperspectral data, Image Residuals, Spectral
Fingerprints, Absorption-band Parameters, Spectral Derivative Ratio,
Classification Algorithms for Hyperspectral Data, radar remote sensing,
speckle noise and suppression, texture analysis, data Fusion, DEM
HEC — RS&GIS Curricula 2005
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extraction from stereo SAR. Computer-based exercises are an
essential part of this course.
