DocumentCode :
1664978
Title :
Classification of industrial disposal illegal dumping site images by using spatial and spectral information together
Author :
Salleh, Jafki Bin ; Tsudagawa, Masaru
Author_Institution :
Dept. Electr. & Electron. Eng., Ritsumeikan Univ., Kyoto, Japan
Volume :
1
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
559
Abstract :
Recently we hear about a lot of bad phenomenon that effect our world like "global warming", ozone hole and so on. This makes the condition of our Earth become far away from it\´s best condition for human beings to live as the years go by. As human beings can be said to have caused the problem, they should be responsible to prevent all of this from happening. But this is too difficult to be done. The best way now is to detect the problem at an earlier stage. In this paper we try to approach the detection of industrial disposal illegal dumping site by remote sensing.
Keywords :
Bayes methods; image classification; image enhancement; maximum likelihood estimation; remote sensing; spatial filters; waste disposal; Bayesian recognition; edge enhancement; fly dumping; illegal waste disposal; industrial disposal illegal dumping site; linear filtering; maximum-likelihood estimation; normal distributions; remote sensing; site images classification; spatial filter matrix; spatial filters; spatial information; spectral information; Building materials; Concrete; Earth; Humans; Remote sensing; Road vehicles; Signal generators; Spatial filters; Teleprinting; Waste materials;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2002. IMTC/2002. Proceedings of the 19th IEEE
ISSN :
1091-5281
Print_ISBN :
0-7803-7218-2
Type :
conf
DOI :
10.1109/IMTC.2002.1006903
Filename :
1006903
Link To Document :
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