Title :
IRS image segmentation: minimum distance classifier approach
Author :
Murthy, C.A. ; Chatterjee, N. ; Shankar, B. Uma ; Majumder, D. Dutta
Author_Institution :
Nat. Centre for Knowledge-Based Comput., Indian Stat. Inst., Calcutta, India
fDate :
30 Aug-3 Sep 1992
Abstract :
A classification method for IRS (Indian Remote Sensing Satellite) images is presented. The image is segmented into six classes using minimum distance classifier where the centres are chosen on the basis of spectral knowledge of the corresponding classes. Two bands (green and infrared) have been used for classification. The results are presented in the form of photographs
Keywords :
geophysical techniques; image processing; infrared imaging; remote sensing; IR imaging; IRS image segmentation; IRS-1A; Indian Remote Sensing Satellite; green band; minimum distance classifier; picture processing; Airports; Cities and towns; Computer science; Computer vision; Concrete; Educational institutions; Image segmentation; Image sensors; Layout; Satellites;
Conference_Titel :
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2910-X
DOI :
10.1109/ICPR.1992.201676
