Title :
Texture measures in SIR-C images
Author_Institution :
GEC-Marconi Res. Centre, Chelmsford, UK
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.692452
