Discrimination and Classification of Multispectral Remote Sensing Data.
Date of Submission
December 1997
Date of Award
Winter 12-12-1998
Institute Name (Publisher)
Indian Statistical Institute
Document Type
Master's Dissertation
Degree Name
Master of Technology
Subject Name
Computer Science
Department
Computer Vision and Pattern Recognition Unit (CVPR-Kolkata)
Supervisor
Parui, Swapan Kumar (CVPR-Kolkata; ISI)
Abstract (Summary of the Work)
This is a study of mixture model approach to clustering. In mixture model approach, each observation is assumed to come from a mixture of a finite number of populations. If we can separate out these populations, each will represent a cluster. Here we learn the underlying parameters of the model and then classify accordingly.
Control Number
ISI-DISS-1997-34
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
DOI
http://dspace.isical.ac.in:8080/jspui/handle/10263/6208
Recommended Citation
Ray, Subhasis6, "Discrimination and Classification of Multispectral Remote Sensing Data." (1998). Master’s Dissertations. 57.
https://digitalcommons.isical.ac.in/masters-dissertations/57
Comments
ProQuest Collection ID: http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:28843070