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Proceedings Paper

Correspondence analysis (CA) in TM image composition of cotton estimation
Author(s): Jun Xie; Deshen Xia
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Paper Abstract

Remote sensing image contains much information about the objects on the earth's surface e.g. vegetation. Through some transactions, those images can be changed to be more clear and more propitious for observing and analyzing. This paper adopts the correspondence analysis algorithm to process the TM image for composition estimation of cotton. By using this method, cotton areas are extracted from other objects and the characteristic TM bands of cotton are found. It also validated the effectiveness of correspondence analysis algorithm. This method can be applied in vegetation estimation.

Paper Details

Date Published: 17 December 1999
PDF: 5 pages
Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); doi: 10.1117/12.373101
Show Author Affiliations
Jun Xie, Nanjing Univ. of Science and Technology (China)
Deshen Xia, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3868:
Remote Sensing for Earth Science, Ocean, and Sea Ice Applications
Giovanna Cecchi; Edwin T. Engman; Eugenio Zilioli, Editor(s)

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