Advanced Image Processing and GIS Integration

This unit advances students’ skills in multispectral and spatial data processing, covering spectral enhancement (IHS, de-correlation, Brovey, PCA), filtering, and contrast methods; image registration and warping; InSAR/DEM generation; and both unsupervised and supervised classification. It also integrates GIS concepts — datums/projections, map algebra, interpolation, surface visualization, uncertainty, and decision-support workflows — to produce thematic maps for real-world applications such as mineral mapping, earthquake damage modelling, and water resource exploration.

Learning Objectives

• Analyze multispectral and panchromatic imagery using spectral enhancement and transformation techniques (IHS de-correlation stretch, Brovey transform, PCA, contrast and filtering) to improve feature discrimination and prepare data for mapping
• Apply image co-registration, polynomial deformation and warping, pixel-wise disparity estimation, and InSAR processing to generate and validate DEMs and accurately align multi-source datasets
• Demonstrate classification and thematic mapping workflows by performing unsupervised and supervised classification, map algebra operations, interpolation, and GIS modelling to produce application-specific thematic outputs
• Evaluate spatial data quality and integration decisions by assessing datums, projections, coordinate storage, measurement scales, uncertainty, and software/tool selection for inclusion in decision‑support and interpretive products