A METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON WEIGHT AND MIXED-PIXEL MODELS

doi:10.6046/gtzyyg.2008.02.05

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Abstract

A method for remote sensing image classification based on weight and mixed-pixel models is proposed in this paper. Combined with the available spectral mixed-pixel models，this method classifies the pixels by weighting and averaging with the abundances and weight factors of the categories according to practical application. To verify its feasibility，the authors carried out the classification of land cover with SPOT-5 data. The results show that the method can improve the accuracy of remote sensing image classification and even has higher application value under certain conditions.

Keywords Artificial neural network Remote sensing digital images Classification

TP75　

Issue Date: 15 July 2009

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	Zhang Baoguang

Cite this article:

Zhang Baoguang. A METHOD FOR REMOTE SENSING IMAGE CLASSIFICATION BASED ON WEIGHT AND MIXED-PIXEL MODELS[J]. REMOTE SENSING FOR LAND & RESOURCES, 2008, 20(2): 18-21.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2008.02.05 OR https://www.gtzyyg.com/EN/Y2008/V20/I2/18

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