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Proceedings Paper

The ASTER tasseled cap interactive transformation using Gramm-Schmidt method
Author(s): Yajuan Wang; Danfeng Sun
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Paper Abstract

ASTER is a valuable tool in studying and understanding landscape processes at local to regional scales, particularly in China with more fragments of agricultural field, and few studies have been reported on combing its bands to do the Tasseled Cap (K-T) Transformation yet, though this method has been applied to TM data since 1976, so we present an approach for using the Gramm-Schmidt method to perform the Tasseled Cap interactive transformation on ASTER image data. Comparing the results derived from the method with NDVI and PCA, we find that the main surface features, including vegetation with different density, can be distinguished based on their physical characters and the result images accord well with in situ investigation. In conclusion, this method can combine the knowledge about the research site with the information contained and can be reflected by remote sensing. So it makes the process simpler and results more accurate, and can be widely used for feature separation and extraction.

Paper Details

Date Published: 3 November 2005
PDF: 12 pages
Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing, 60430R (3 November 2005); doi: 10.1117/12.654861
Show Author Affiliations
Yajuan Wang, China Agricultural Univ. (China)
Danfeng Sun, China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 6043:
MIPPR 2005: SAR and Multispectral Image Processing
Liangpei Zhang; Jianqing Zhang; Mingsheng Liao, Editor(s)

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