Title :
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
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;
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
DOI :
10.1109/IGARSS.1997.615794
