Chin J Plan Ecolo ›› 2002, Vol. 26 ›› Issue (2): 185-188.

• Research Articles • Previous Articles     Next Articles

Vegetation Classification of Multispectral Remotely Sensed Data Using Neural Network

YANG Jian, CHI Hong-Kang and MO Mo   

  • Published:2002-02-10
  • Contact: YANG Jian

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