DocumentCode
1681414
Title
Texture measures in SIR-C images
Author
Anderson, C.
Author_Institution
GEC-Marconi Res. Centre, Chelmsford, UK
Volume
3
fYear
1998
Firstpage
1717
Abstract
The ability of texture measures to separate broad land-cover classes in 25 meter resolution, multi-polarisation synthetic aperture radar (SAR) images from the SIR-C Shuttle mission is investigated. A large number of first and second order texture measures and different methods of discretising the images are examined. The results indicate that texture measures, particularly in the CHH polarisation, improve the separation between land cover classes and can assist in classification
Keywords
geophysical signal processing; geophysical techniques; image classification; image texture; radar imaging; radar polarimetry; remote sensing by radar; synthetic aperture radar; CHH polarisation; SAR; SIR-C; and-cover class; geophysical measurement technique; image classification; image texture measure; land surface; radar imaging; radar polarimetry; radar remote sensing; separation; spaceborne radar; synthetic aperture radar; terrain mapping; Backscatter; Goniometers; Image resolution; Image segmentation; Layout; Particle measurements; Pixel; Polarization; Power measurement; Synthetic aperture radar;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location
Seattle, WA
Print_ISBN
0-7803-4403-0
Type
conf
DOI
10.1109/IGARSS.1998.692452
Filename
692452
Link To Document