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Extract forest information using the mixed end-members from images and field survey data

机译:使用来自图像和现场调查数据的混合最终成员提取森林信息

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Using linear unmixed model to obtain forest information is widely accepted at present, in which extraction of end-members is mainly acquired from remote sensing images directly. In this paper, the advantage of extracting the end-member images is analysed. The linear unmixed model was applied to the mixed end-members. The results of the research show that the computer simulation results are accurate and correct rate is higher than 85% with 60 random sample points from field investigation.
机译:使用线性解密模型以获得森林信息,目前广泛接受,其中终端构的提取主要从遥感图像直接获取。在本文中,分析了提取端构件图像的优点。将线性解密模型应用于混合端构件。研究结果表明,计算机仿真结果准确,速率高于85%,具有60个无随机的样本点。

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