An integrated approach using ISODATA and SVR to land cover classification: an example of wheat

J. Zhang; Y. Pan; C. Yi; Q. Ma; C. Xu

doi:10.1117/12.813212

7 November 2008 An integrated approach using ISODATA and SVR to land cover classification: an example of wheat

J. Zhang, Y. Pan, C. Yi, Q. Ma, C. Xu

Proceedings Volume 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images; 71470C (2008) https://doi.org/10.1117/12.813212
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

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.

Citation Download Citation

J. Zhang, Y. Pan, C. Yi, Q. Ma, and C. Xu "An integrated approach using ISODATA and SVR to land cover classification: an example of wheat", Proc. SPIE 7147, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Classification of Remote Sensing Images, 71470C (7 November 2008); https://doi.org/10.1117/12.813212

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KEYWORDS

Image classification

Reflectivity

Medium wave

Accuracy assessment

Fuzzy logic

Spectral models

Feature extraction

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