计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (1): 180-182.DOI: 10.3778/j.issn.1002-8331.2010.01.053
• 图形、图像、模式识别 • 上一篇 下一篇
潘建平
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PAN Jian-ping
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摘要： 对于定量遥感来说，混合像元是制约它深入发展的难点之一。针对中高分辨率图像ETM＋，采用FUZZY ARTMAP神经网络进行混合像元分解，获得像元中不同地物的含量，进而获得像元的植被覆盖度。该方法在某地区ETM+图像的应用表明，试验结果能满足应用需求。
关键词: 混合像元分解, 神经网络, 植被覆盖度, 模糊ARTMAP神经网络
Abstract: Subpixel is a difficulty for the development of quantitative remote sensing.The paper decomposes subpixel with fuzzy-artmap for the ETM+ image，and gets vegetation fraction for every pixel.The test shows that result is satisfactory for application.
Key words: pixel unmixing, neural network, vegetation fraction, FUZZY-ARTMAP
中图分类号:
TP391
潘建平. FUZZY-ARTMAP混合像元分解及其应用[J]. 计算机工程与应用, 2010, 46(1): 180-182.
PAN Jian-ping. Pixel unmixing and its application based on FUZZY-ARTMAP[J]. Computer Engineering and Applications, 2010, 46(1): 180-182.
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链接本文: http://cea.ceaj.org/CN/10.3778/j.issn.1002-8331.2010.01.053
http://cea.ceaj.org/CN/Y2010/V46/I1/180
