Application of the behavioral approach for supervised classification of remote sensing data

Author

Orban-Ferauge, F.

Author_Institution

Lab. GEOSATEL, Namur Univ.

fYear

1993

fDate

18-21 Aug 1993

Firstpage

1524

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1993.322759

Filename

322759

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2064750