应用神经网络模型分解AVHRR混合像元

王喜鹏; 张养贞

doi:10.11834/jrs.19980109

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应用神经网络模型分解AVHRR混合像元
The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model
1998年第1期
纸质出版：1998
DOI： 10.11834/jrs.19980109
稿件说明：

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[1]王喜鹏,张养贞.应用神经网络模型分解AVHRR混合像元[J].遥感学报,1998(01):51-56. DOI： 10.11834/jrs.19980109.

Wang Xipeng. The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model[J]. Journal of Remote Sensing, 1998, (1). DOI： 10.11834/jrs.19980109.

摘要

在大面积农作物遥感估产中，应用气象卫星数据估算种植面积一直是一个难点。已有的混合像元分解法要么实际操作困难，要么不适用于ＡＶＨＲＲ数据。该文在前人研究的基础上提出了一种新的方法──应用ＡＶＨＲＲ混合像元神经网络分解模型估算种植面积。这种方法综合利用了ＴＭ数据与ＮＯＡＡ数据各自的优势，具有较好的科学性和经济可行性。

Abstract

In large area crops yield estimation from remote sensing data

crops planting area estimation with NOAA data remains to be resolved difficultly. Those mixed pixed decomposition methods given before are impractiable

or not suitable for AVHRR data. In view of points above

a new method

more scientific and economic than before

is put forward

that is to estimate crops planting area by means of AVHRR mixed pixel neural network decomposition model

which comprehensively makes use of the advantages of both TM data and NOAA data .