Title :
Analysis of IRS imagery for detecting man-made objects with a multivalued recognition system
Author :
Mandal, Deba P. ; Murthy, C.A. ; Pal, Sankar K.
Author_Institution :
Machine Intelligence Unit, Indian Stat. Inst., Calcutta
fDate :
3/1/1996 12:00:00 AM
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
Keywords :
fuzzy set theory; image classification; image segmentation; object recognition; remote sensing; Indian Remote Sensing satellite imagery; airports; bridges; city area; clustered image; heuristic rules; land cover types; man-made objects detection; multiple class choices; multivalued recognition system; roads; seaports; town-ship/industrial areas; Airports; Bridges; Cities and towns; Image analysis; Image recognition; Object detection; Pixel; Remote sensing; Roads; Satellites;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/3468.485750
