Remote sensing segmentation through a filter bank based on Gabor functions

Author

García-Consuegra, J. ; Cisneros, G. ; Ballesteros, J. ; Molina, R.

Author_Institution

Inst. de Desarrollo Regional, Castilla-La Mancha Univ., Spain

Volume

2

fYear

1998

fDate

12-15 May 1998

Firstpage

1169

Abstract

One of the most critical activities of remote sensing consists of the identification of different coverages (types of crops) on land surface. This task is complicated when the entire plot is not covered by the crop (e.g. almond and olive fields, vineyards, etc.). The segregation of these crops is accomplished by using a multi-channel (Gabor functions) filtering approach in remote sensing imagery, in this case applied to an aerial photograph

Keywords

agriculture; band-pass filters; filtering theory; image segmentation; image texture; remote sensing; Gabor functions; aerial photograph; almond fields; crops; filter bank; land surface coverage; multi-channel filtering; olive fields; remote sensing; remote sensing imagery; remote sensing segmentation; texture segmentation; vineyards; Crops; Filter bank; Filtering; Frequency; Gabor filters; Humans; Image resolution; Image segmentation; Pixel; Remote sensing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.675478

Filename

675478