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Proceedings Paper

An integrated approach using ISODATA and SVR to land cover classification: an example of wheat
Author(s): J. Zhang; Y. Pan; C. Yi; Q. Ma; C. Xu
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Paper Abstract

An integrated approach of ISODATA and SVR is presented to extract the objective information, e.g. wheat, which can adequately combine the advantages of both hard and soft classification. It exploits the classification method of ISODATA for the typical objective feature and SVR mixed spectral unmixing for the mixed objective feature. The accuracy assessment shows that this method, which can obtain a higher accuracy than that of either linear spectral unmixing or ISODATA method, is practical.

Paper Details

Date Published: 7 November 2008
PDF: 8 pages
Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470C (7 November 2008); doi: 10.1117/12.813212
Show Author Affiliations
J. Zhang, Beijing Normal Univ. (China)
Y. Pan, Beijing Normal Univ. (China)
C. Yi, Beijing Normal Univ. (China)
Q. Ma, Renmin Univ. of China (China)
C. Xu, Beijing Normal Univ. (China)


Published in SPIE Proceedings Vol. 7147:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang, Editor(s)

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