Chin J Plan Ecolo ›› 2002, Vol. 26 ›› Issue (2): 185-188.
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YANG Jian, CHI Hong-Kang and MO Mo
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Abstract: Neural Networks have been proposed as a means of classifying remotely sensed data. In this paper, we address a land cover classification problem using multi-spectral Landsat Thematic Mapper(TM) data employing ANN. We design a MLP (Multi Layer Perceptron)N
YANG Jian, CHI Hong-Kang, MO Mo. Vegetation Classification of Multispectral Remotely Sensed Data Using Neural Network[J]. Chin J Plan Ecolo, 2002, 26(2): 185-188.
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