Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-6/W27, 35-39, 2011
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-6-W27/35/2011/
doi:10.5194/isprsarchives-XXXVIII-6-W27-35-2011
© Author(s) 2011. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
05 Sep 2012
V-SIPAL - A VIRTUAL LABORATORY FOR SATELLITE IMAGE PROCESSING AND ANALYSIS
K. M. Buddhiraju1, L. Eeti2, and K. K. Tiwari3 1Associate Professor, Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay Powai, Mumbai 400076, India
2Research Assistant, Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay Powai, Mumbai 400076, India
3Master’s Student, Centre of Studies in Resources Engineering, Indian Institute of Technology Bombay Powai, Mumbai 400076, India
Keywords: Virtual Laboratory, Satellite Image Processing, Web-based learning Abstract. In this paper a virtual laboratory for the Satellite Image Processing and Analysis (v-SIPAL) being developed at the Indian Institute of Technology Bombay is described. v-SIPAL comprises a set of experiments that are normally carried out by students learning digital processing and analysis of satellite images using commercial software. Currently, the experiments that are available on the server include Image Viewer, Image Contrast Enhancement, Image Smoothing, Edge Enhancement, Principal Component Transform, Texture Analysis by Co-occurrence Matrix method, Image Indices, Color Coordinate Transforms, Fourier Analysis, Mathematical Morphology, Unsupervised Image Classification, Supervised Image Classification and Accuracy Assessment. The virtual laboratory includes a theory module for each option of every experiment, a description of the procedure to perform each experiment, the menu to choose and perform the experiment, a module on interpretation of results when performed with a given image and pre-specified options, bibliography, links to useful internet resources and user-feedback. The user can upload his/her own images for performing the experiments and can also reuse outputs of one experiment in another experiment where applicable. Some of the other experiments currently under development include georeferencing of images, data fusion, feature evaluation by divergence andJ-M distance, image compression, wavelet image analysis and change detection. Additions to the theory module include self-assessment quizzes, audio-video clips on selected concepts, and a discussion of elements of visual image interpretation. V-SIPAL is at the satge of internal evaluation within IIT Bombay and will soon be open to selected educational institutions in India for evaluation.
Conference paper (PDF, 1508 KB)


Citation: Buddhiraju, K. M., Eeti, L., and Tiwari, K. K.: V-SIPAL - A VIRTUAL LABORATORY FOR SATELLITE IMAGE PROCESSING AND ANALYSIS, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XXXVIII-6/W27, 35-39, doi:10.5194/isprsarchives-XXXVIII-6-W27-35-2011, 2011.

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