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Proceedings Paper

Assessment of ALOS PALSAR data for land cover/land use mapping in Malaysia
Author(s): C. K. Sim; K. Abdullah; M. Z. MatJafri; H. S. Lim
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Paper Abstract

The purpose of this study was to evaluate the original PALSAR radar, and radar texture, for land cover classification. The primary methodology was standard image processing, including spectral signature extraction and the application of a statistical decision rule to classify the surface features .Seven land covers were identified and the probability of correct classification of classes was assessed by using the Transformed Divergence (TD) separability measures. TD values were obtained for all original and texture derived bands along with various multiple band combinations. The radar texture bands greatly improved upon the TD values in comparison to the original radar values. Combination of original radar and radar texture bands consistently showed excellent Transformed Divergence (TD) separability. The use of texture was able to improve separability between different land cover/use classes.

Paper Details

Date Published: 16 November 2010
PDF: 11 pages
Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 78571H (16 November 2010); doi: 10.1117/12.869504
Show Author Affiliations
C. K. Sim, Univ. Sains Malaysia (Malaysia)
K. Abdullah, Univ. Sains Malaysia (Malaysia)
M. Z. MatJafri, Univ. Sains Malaysia (Malaysia)
H. S. Lim, Univ. Sains Malaysia (Malaysia)


Published in SPIE Proceedings Vol. 7857:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki, Editor(s)

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