The studying of expert system for soil remote sensing classification and recognition

Author

Lijian, Zhang ; Xingwen, Liu

Author_Institution

Xinjiang Inst. of Phys., China

fYear

1993

fDate

18-21 Aug 1993

Firstpage

186

Abstract

An expert system for soil surveying is presented. In this system the processing is divided into two steps. First, the original data is classified by statistical unsupervised classification method. And then, the result of classification is labeled by expert knowledge and experience. In this system, non-spectral information as well as spectral information are employed to improve the accuracy of classification. The knowledge and experience of an expert are introduced and the processing of soil interpretation of expert is simulated to get the relationship of the result of classification to the kind of soil

Keywords

expert systems; geophysical techniques; geophysics computing; image recognition; knowledge based systems; remote sensing; soil; expert knowledge; expert system; geophysical measurement technique; geophysics computing; image classification; image processing; image recognition; land surface remote sensing; soil type; statistical unsupervised classification method; surveying; Expert systems; Geology; Image analysis; Image converters; Image recognition; Information analysis; Large Hadron Collider; Remote sensing; Soil; Vegetation mapping;

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.1993.322519

Filename

322519