| 应用神经网络模型分解AVHRR混合像元 |
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| 引用本文： | 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,1998,2(1):51-56. |
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| 作者姓名： | 王喜鹏 张养贞 |
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| 作者单位： | 南开大学环境科学系，中国科学院长春地理研究所 |
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| 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。
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| 关 键 词： | AVHRR混合像元，神经网络 |
| 收稿时间： | 1997/3/17 0:00:00 |
| 修稿时间： | 6/2/1997 12:00:00 AM |
The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model |
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| Wang Xipeng and Zhang Yangzhen.The Study on Decomposing AVHRR Mixed Pixels by Means of Neural Network Model[J].Journal of Remote Sensing,1998,2(1):51-56. |
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| Authors: | Wang Xipeng and Zhang Yangzhen |
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| Institution: | Environmental Science Department in Nankai University, Tianjin 300071;Changchun Institute of Geography, Chinese Academy of Sciences, Changchun 130021 |
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| 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 . |
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| Keywords: | AVHRR mixed pixel Neural network |
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