Shading-based DEM refinement under a comprehensive imaging model

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• 作者：Jianwei Peng^a ; ^{pengjw@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Yi Zhang^a ; ^{ivory2008@whu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Jie Shan^b ; ^a ; ^{jshan@purdue.edu" class="auth_mail" title="E-mail the corresponding author}
• 关键词：DEM refinement ; Interpolation ; Shape-from-shading ; Variational method ; Atmospheric correction
• 刊名：ISPRS Journal of Photogrammetry and Remote Sensing
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：110
• 期：Complete
• 页码：24-33
• 全文大小：4626 K

文摘

This paper introduces an approach to refine coarse digital elevation models (DEMs) based on the shape-from-shading (SfS) technique using a single image. Different from previous studies, this approach is designed for heterogeneous terrain and derived from a comprehensive (extended) imaging model accounting for the combined effect of atmosphere, reflectance, and shading. To solve this intrinsic ill-posed problem, the least squares method and a subsequent optimization procedure are applied in this approach to estimate the shading component, from which the terrain gradient is recovered with a modified optimization method. Integrating the resultant gradients then yields a refined DEM at the same resolution as the input image. The proposed SfS method is evaluated using 30 m Landsat-8 OLI multispectral images and 30 m SRTM DEMs. As demonstrated in this paper, the proposed approach is able to reproduce terrain structures with a higher fidelity; and at medium to large up-scale ratios, can achieve elevation accuracy 20–30% better than the conventional interpolation methods. Further, this property is shown to be stable and independent of topographic complexity. With the ever-increasing public availability of satellite images and DEMs, the developed technique is meaningful for global or local DEM product refinement.