Title :
The Best Band Combination of CBERS-02 CCD Data
Author :
Jing, Peng ; Xiangang, Luo ; Jun, Zhang
Author_Institution :
Fac. of Inf. Eng., China Univ. of Geosci., Wuhan, China
Abstract :
Band combination of remote sensing image is the premise of image fusion and classification. Results of this study show that: CBERS-02 CCD data the standard deviation of each band order: Band 5>; Band 2>; Band 4>; Band 1>; Band 3; compared with the size of the order of entropy: Band 5>; Band 2>; Band 1>; band>; 3>; band 4; Band 2 and band 5, the maximum covariance. Best band combination image contains not only the most informative, but also from the perspective of visual interpretation to better identify the different objects. Use joint entropy and the best index of OIF method to determine the best band combination were: 5 (R) 3 (G) 1 (B) and 5 (R) 4 (G) 3 (B).
Keywords :
covariance analysis; entropy; geophysical image processing; image classification; image fusion; remote sensing; CBERS-02 CCD data; charge-coupled device data; covariance; entropy order; image classification; image fusion; remote sensing image; standard deviation; visual interpretation perspective; Charge coupled devices; Correlation; Covariance matrix; Entropy; Indexes; Joints; Remote sensing; CBERS-02 CCD; band combination; best index (OIF); optimal joint entropy;
Conference_Titel :
Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4577-1788-8
DOI :
10.1109/KAM.2011.72
