Title :
Application of the behavioral approach for supervised classification of remote sensing data
Author :
Orban-Ferauge, F.
Author_Institution :
Lab. GEOSATEL, Namur Univ.
Abstract :
As an application of the behavioral answer proposed for the classification of remote sensing data using the nonparametric intensities of the training sets, this paper proposes to discuss the contribution of the authors´ research in supervised classification of remote sensing data. The improvement of the results for thematic classification are estimated in terms of CPU time, proportions of well classified pixels and confusion matrices
Keywords :
geophysical techniques; image recognition; remote sensing; behavioral approach; confusion matrix; geophysical measurement technique; image classification; land surface remote sensing; nonparametric intensities; supervised classification; thematic classification; training set; well classified pixel; Bandwidth; Constraint theory; Image recognition; Laboratories; Maximum likelihood estimation; Pixel; Remote sensing; Satellites; Shape; Soil;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1993. IGARSS '93. Better Understanding of Earth Environment., International
Conference_Location :
Tokyo
Print_ISBN :
0-7803-1240-6
DOI :
10.1109/IGARSS.1993.322759
