Mandal, D. P. ; Murthy, C. A. ; Pal, S. K. (1996) Analysis of IRS imagery for detecting man-made objects with a multivalued recognition system IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 26 (2). pp. 241-247. ISSN 1083-4427
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/3468.485750
Abstract
The present work describes a method of analyzing Indian Remote Sensing (IRS) satellite imagery for detecting various man-made objects, namely, roads, bridges, airports, seaports, city area and town-ship/industrial areas. A multivalued recognition system has initially been used to classify the image pixels into six land cover types by providing multiple choices of classes. In order to identify certain targets, some spatial knowledge about them and their inter-relationships have been incorporated on the clustered image using some heuristic rules. The use of multiple class choices makes the detection procedures effective.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 77667 |
| Deposited On: | 14 Jan 2012 04:41 |
| Last Modified: | 14 Jan 2012 04:41 |
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