Title :
An information fusion method for multispectral image classification postprocessing
Author :
De Meneses, Jorge López ; Solaiman, Basel ; Koffi, Raphaël ; Mouchot, Marie-Catherine
Author_Institution :
Dept. d´´Image et Traitement de l´´Inf., Ecole Nat. Superieure des Telecommun. de Bretagne, Brest, France
Abstract :
A post-processing technique is presented. Its goal is to produce classification images with sharp interclass boundaries and homogeneous regions. The chosen approach is the fusion of different available sources of information on the image to be analyzed. The method has been successfully applied to LANDSAT images, classified with neural networks, yielding to very encouraging results
Keywords :
edge detection; geophysical signal processing; image classification; image segmentation; neural nets; remote sensing; sensor fusion; LANDSAT images; homogeneous regions; information fusion method; interclass boundaries; multispectral image classification postprocessing; neural networks; Change detection algorithms; Image edge detection; Information analysis; Information resources; Joining processes; Multispectral imaging; Neural networks; Pixel; Remote sensing; Voting;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.519659
