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Research on Method of Landslides Computer Interpretation (LCI) Based on Remote Sensing data

机译:基于遥感数据的滑坡计算机解译方法研究

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The advantages of Remote Sensing (RS) in landslides recognition can't be embodied completely by Landslide Visual Interpretation (LVI). Simulating the process of LVI is the main task of Landslide Computer Interpretation (LCI). The paper studies the specific method of LCI. Based on the analysis of landslides' image feature and visual interpretation key, an approach is presented. The approach bases quantification of image texture on geostatistics variogram, uses spectral signature and geostatistics texture as LCI indices and combines spectral unsupervised classification with textural analysis one. The experiment results show that the combination of two kinds of features can reduce the uncertainty during LCI, and the correct recognition rate is better, too.
机译:遥感(RS)在滑坡识别中的优势无法完全通过滑坡视觉解释(LVI)来体现。模拟LVI的过程是滑坡计算机解释(LCI)的主要任务。本文研究了LCI的具体方法。在分析滑坡的图像特征和可视化解释关键的基础上,提出了一种方法。该方法基于地统计变异函数对图像纹理进行量化,使用光谱特征和地统计纹理作为LCI指标,并将光谱无监督分类与纹理分析相结合。实验结果表明,两种特征的结合可以减少LCI的不确定性,正确识别率也更好。

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