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

机译:使用混合的最终成员从图像和现场调查数据中提取森林信息

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摘要

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:目前,使用线性未混合模型获取森林信息已被广泛接受,其中主要从遥感图像中直接获取末端成员。本文分析了提取末端成员图像的优势。将线性未混合模型应用于混合的末端成员。研究结果表明,计算机仿真结果准确,正确率大于85%,现场调查随机抽取60个采样点。

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