Land-use classification using temporal SAR-images

Author

Törmä, Markus ; Koskinen, Jarkko

Author_Institution

Inst. of Photogrammetry & Remote Sensing, Helsinki Univ. of Technol., Espoo, Finland

Volume

1

fYear

1997

fDate

3-8 Aug 1997

Firstpage

44

Abstract

14 ERS-1 SAR images were classified using three different classification algorithms. Median filtering and principal component analysis were used in speckle reduction and feature extraction. Feature selection was performed using branch-and-bound algorithm. The best classification accuracy (55-60%) was achieved when principal component images computed from median filtered SAR images were used. In this case five best principal components gave as good results as all 14 images

Keywords

feature extraction; forestry; geophysical signal processing; geophysical techniques; image classification; image sequences; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; ERS-1; Finland; Porvoo; SAR; Scandinavia; feature extraction; forest; forestry; geophysical measurement technique; image classification; image processing; image sequence; land surface; land use; median filtering; principal component analysis; radar imaging; radar remote sensing; spaceborne radar; speckle reduction; synthetic aperture radar; temporal image; terrain mapping; vegetation mapping; Adaptive optics; Earth; Feature extraction; Filtering; Filters; Pixel; Principal component analysis; Space technology; Speckle; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615794

Filename

615794