包络线去除的丘陵地区遥感影像阴影信息重建

发布时间：2018-01-04 19:22

本文关键词：包络线去除的丘陵地区遥感影像阴影信息重建　出处：《遥感学报》2017年04期 　论文类型：期刊论文

【摘要】：中国西南丘陵常态山和喀斯特山交错分布,遥感影像普遍存在山体阴影,分布零散且无规律,基于DEM的地形校正模型(C校正等)虽然算法成熟、易于操作,但在复杂地形区存在误差。引入基于相似像元包络线的阴影校正方法(CR校正),按照阴影提取、包络线去除、相似像元寻找和阴影亮度重建的步骤,采用西南丘陵地区Landsat 8 OLI影像进行验证实验。结果表明:CR校正后,阴影区的视觉特征与邻近非阴影区趋于一致,阴影像元亮度有明显提升;校正后影像主要波段标准差减小,与非阴影区参考光谱的相对均方根误差在2.919%以内,最低仅为0.516%;自动分类精度从43.59%提高到61.57%,CR校正有效提高了有阴影的丘陵地区遥感影像质量。
[Abstract]:Southwest Hilly Chinese normal hill and Karst Hill staggered distribution, remote sensing image exists hillshade, scattered and irregular, DEM based terrain correction model (C correction) although the mature algorithm, easy to operate, but there are errors in the complex terrain area. Based on the introduction of similar pixel envelope shading correction method (CR correction), in accordance with the shadow extraction, envelope removal, similar pixel search and shadow brightness reconstruction steps, to verify the experiment in hilly areas of Southwest China Landsat 8 OLI image. The results showed that after CR correction, shadow visual features and adjacent non shadow areas tend to be consistent, the shadow pixel brightness is improved after correction; image main band the standard deviation is reduced, and the non shadow area reference spectra and the relative root mean square error of less than 2.919%, the minimum is only 0.516%; the classification accuracy increased from 43.59% to 61.57%, CR can effectively improve the correction The quality of remote sensing image in hilly area of shadows.

【作者单位】：西南大学地理科学学院;成都信息工程大学资源环境学院;
【基金】：国家科技支撑计划项目(编号:2013BAJ11B02) 重庆市社会科学规划项目(编号:2016YBGL131)~~
【分类号】：TP751
【正文快照】： 引用格式:张甜,廖和平,崔林林.2017.包络线去除的丘陵地区遥感影像阴影信息重建.遥感学报,21(4):604 613Zhang T,Liao H P and Cui L L.2017.Mountainous shadow information restoration based on the continuum中国西南丘陵地区的遥感影像普遍存在大量山体阴影,分布零散且

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