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Retrieving Vegetation Cover by using BP Neural Network based on 'Beijing -1' Microsatellite data

机译:基于“北京-1”微卫星数据的BP神经网络反演植被

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This paper presents a BP neural network method to retrieve vegetation cover of the Drainage basin of Miyun Reservoir based on the new remote sensing data - "Beijing-1" microsatellite data. And the retrieval result was compared with the one retrieved by the traditional methods. The compared results showed that for vegetation cover retrieval in mountainous areas, neural network has the advantage of precise simulation of non-linear transmission over traditional methods, especially for mountainous vegetation cover retrieval which traditional methods usually fail.
机译:基于新的遥感数据“北京一号”微卫星数据,提出了一种基于BP神经网络的密云水库流域植被覆盖度反演方法。并将检索结果与传统方法检索的结果进行比较。比较结果表明,与传统方法相比,对于山区植被覆盖的恢复,神经网络具有对非线性传递进行精确模拟的优势,特别是对于传统方法通常失败的山区植被覆盖的恢复。

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