Computer processing and pattern recognition of radar remote sensing images of the Huai River basin

Author

Zhang Xiaoming ; Zhou Xiuguang ; Lu Songlin

Author_Institution

Inst. of Nucl. Res., Acad. Sinica, Shanghai, China

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

956

Abstract

Introduces remote sensing image processing and recognition. Because the radar remote sensing and image processing system makes errors and the image has distortion, the authors adopt gradient and linear regression to correct the grey distortion and use the multinomial warping method to rectify geometric distortion. The authors use a supervised classification and recognition method to analyze the remotely sensed images and to provide flooding distribution maps and data.<>

Keywords

geography; image processing; image recognition; pattern recognition; remote sensing by radar; rivers; statistical analysis; Anhui; China; Huai River basin; errors; flooding region distribution map; geometric distortion; gradient regression; grey distortion; image distortion; linear regression; multinomial warping method; pattern recognition; radar remote sensing image recognition; remote sensing image analysis; remote sensing image processing; supervised classification; Computer errors; Error correction; Floods; Image analysis; Image processing; Image recognition; Linear regression; Pattern recognition; Radar remote sensing; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320172

Filename

320172