Title :
Multispectral LANDSAT images segmentation using neural networks and multi-experts approach
Author :
Solaiman, B. ; Mouchot, M.C. ; Koffi, R.K.
Author_Institution :
Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Abstract :
The application of a combined segmentation method using the Canny-Deriche filter and a multi layer perceptron neural network is considered. The segmentation of five LANDSAT spectral bands is conducted. Obtained segmented images are combined using a multi experts approach in order to improve the segmentation quality and to preserve the land cover regions
Keywords :
geophysical signal processing; geophysical techniques; image classification; image colour analysis; image segmentation; multilayer perceptrons; optical information processing; remote sensing; Canny-Deriche filter; LANDSAT; geophysical measurement technique; image classification; image processing; image segmentation; land cover; land surface terrain mapping; multi-experts approach; multilayer perceptron; multispectral method; neural net; neural network; optical imaging IR imaging infrared; Artificial neural networks; Filters; Hysteresis; Image segmentation; Image texture analysis; Neural networks; Remote sensing; Satellites; Smoothing methods; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399666
