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Proceedings Paper

A learning tool for optical and microwave satellite image processing and analysis
Author(s): Gaurav Kumar Dashondhi; Jyotirmoy Mohanty; Laxmi Narayana Eeti; Avik Bhattacharya; Shaunak De; Krishna Mohan Buddhiraju
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Paper Abstract

This paper presents a self-learning tool, which contains a number of virtual experiments for processing and analysis of Optical/Infrared and Synthetic Aperture Radar (SAR) images. The tool is named Virtual Satellite Image Processing and Analysis Lab (v-SIPLAB) Experiments that are included in Learning Tool are related to: Optical/Infrared - Image and Edge enhancement, smoothing, PCT, vegetation indices, Mathematical Morphology, Accuracy Assessment, Supervised/Unsupervised classification etc.; Basic SAR - Parameter extraction and range spectrum estimation, Range compression, Doppler centroid estimation, Azimuth reference function generation and compression, Multilooking, image enhancement, texture analysis, edge and detection. etc.; SAR Interferometry - BaseLine Calculation, Extraction of single look SAR images, Registration, Resampling, and Interferogram generation; SAR Polarimetry - Conversion of AirSAR or Radarsat data to S2/C3/T3 matrix, Speckle Filtering, Power/Intensity image generation, Decomposition of S2/C3/T3, Classification of S2/C3/T3 using Wishart Classifier [3]. A professional quality polarimetric SAR software can be found at [8], a part of whose functionality can be found in our system. The learning tool also contains other modules, besides executable software experiments, such as aim, theory, procedure, interpretation, quizzes, link to additional reading material and user feedback. Students can have understanding of Optical and SAR remotely sensed images through discussion of basic principles and supported by structured procedure for running and interpreting the experiments. Quizzes for self-assessment and a provision for online feedback are also being provided to make this Learning tool self-contained. One can download results after performing experiments.

Paper Details

Date Published: 30 April 2016
PDF: 10 pages
Proc. SPIE 9880, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI, 988024 (30 April 2016); doi: 10.1117/12.2224002
Show Author Affiliations
Gaurav Kumar Dashondhi, Indian Institute of Technology Bombay (India)
Jyotirmoy Mohanty, Indian Institute of Technology Bombay (India)
Laxmi Narayana Eeti, Indian Institute of Technology Bombay (India)
Avik Bhattacharya, Indian Institute of Technology Bombay (India)
Shaunak De, Indian Institute of Technology Bombay (India)
Krishna Mohan Buddhiraju, Indian Institute of Technology Bombay (India)


Published in SPIE Proceedings Vol. 9880:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications VI
Allen M. Larar; Prakash Chauhan; Makoto Suzuki; Jianyu Wang, Editor(s)

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