On Line Segment Detection in IRS Images.
Date of Submission
December 1992
Date of Award
Winter 12-12-1993
Institute Name (Publisher)
Indian Statistical Institute
Document Type
Master's Dissertation
Degree Name
Master of Technology
Subject Name
Computer Science
Department
Electronics and Communication Sciences Unit (ECSU-Kolkata)
Supervisor
Majumder, D. Dutta (ECSU-Kolkata; ISI)
Abstract (Summary of the Work)
This Report Provides the Results of applying Various Line Detecting Algorithms on I.r.s (Indian Remote Sensing Satellite) Images. With the Resolution 36.25 X 36.25 Sg.mt of Irs Images the Linear Features of Interest to us as Roads, Such Railway lines are in General One, Two or Three Pixels Wide.There are Many Algorithms in Literature for Detecting line Segments Such as Simple Thresholding[5], Linear and Non-Linear line Detecting Operators(51, Using a Pair of Edges(2].This Report Deals with the Detection of line Segments Using Three Earlier Methods in Relation to two new Methods. The results are Provided in the Report. The Images Under Cosideration for Analysis are I.r.s Images of Calcutta & Bombay.One Pixel width line Segments are Detected byline Tracing line Segments Upto Three Pixels Width are Detected Using the 'classification'results of the Images. The Classification has Been Done According to the Land Cover Type.
Control Number
ISI-DISS-1992-164
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/10263/6332
Recommended Citation
Rao, K. Nagaeswara, "On Line Segment Detection in IRS Images." (1993). Master’s Dissertations. 377.
https://digitalcommons.isical.ac.in/masters-dissertations/377
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:28843478