Correspondence analysis (CA) in TM image composition of cotton estimation

Jun Xie; Deshen Xia

doi:10.1117/12.373101

17 December 1999 Correspondence analysis (CA) in TM image composition of cotton estimation

Jun Xie, Deshen Xia

Proceedings Volume 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications; (1999) https://doi.org/10.1117/12.373101
Event: Remote Sensing, 1999, Florence, Italy

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.

Citation Download Citation

Jun Xie and Deshen Xia "Correspondence analysis (CA) in TM image composition of cotton estimation", Proc. SPIE 3868, Remote Sensing for Earth Science, Ocean, and Sea Ice Applications, (17 December 1999); https://doi.org/10.1117/12.373101

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