Title :
Analysis of multispectral urban images using adaptive resonance theory
Author :
Thitimajshima, Punya
Author_Institution :
Dept. of Telecommun. Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
Multispectral images of an urban environment are analyzed and interpreted by means of a neural network approach. In particular, the advantages found by using an adaptive resonance theory network of the data are shown and commented on. The author uses the ART2 structure which accepts floating-point data, so that each input can be for each pixel gray level values at each band. This choice is an attempt to simplify the algorithm as much as possible. Experiments carried out with JERS-1 images are given
Keywords :
ART neural nets; remote sensing; terrain mapping; ADEOS image; ART2 structure; Bangkok; JERS-1 images; Thailand; adaptive resonance theory; floating-point data; multispectral urban images; neural network approach; urban environment; Image analysis; Resonance;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978308
