首页> 外文会议>European Space Agency;Living planet symposium;EUMETSAT;European Commission >AN OPTICAL FLOW METHOD APPLIED TO CO-REGISTRATION OF REMOTE SENSING IMAGES: EXAMPLE FOR SAR/SAR, SAR/LIDAR, SAR/OPTICAL IMAGES OF BIOSAR 2010 CAMPAIGN
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AN OPTICAL FLOW METHOD APPLIED TO CO-REGISTRATION OF REMOTE SENSING IMAGES: EXAMPLE FOR SAR/SAR, SAR/LIDAR, SAR/OPTICAL IMAGES OF BIOSAR 2010 CAMPAIGN

机译:一种用于遥感图像共配准的光学流方法:以BIOSAR 2010广告系列的SAR / SAR,SAR / LIDAR,SAR /光学图像为例

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摘要

This article proposes an optical flow type method for coregistration of forest remote sensing images. The principle of the algorithm called GeFolki is first explained. Results are shown on the images of the BioSAR 3 campaign, for the production of SAR interferograms, the coregistration a SAR and LIDAR image, and the coregistration an optical image and SAR image.The advantages of such an algorithm over conventional algorithms are explained. Finally, we propose various applications within the operating data for future BIOMASS mission: massive interferometry, ground truth production, upscaling by fusion of LIDAR and SAR data, and image mining.
机译:本文提出了一种用于森林遥感图像融合的光流式方法。首先说明称为GeFolki的算法的原理。结果显示在BioSAR 3活动的图像上,用于生成SAR干涉图,SAR和LIDAR图像的共向性,以及光学图像和SAR图像的共向性。解释了这种算法相对于常规算法的优势。最后,我们在未来BIOMASS任务的运行数据中提出了各种应用:大规模干涉测量,地面实况生产,通过融合LIDAR和SAR数据进行规模扩大以及图像挖掘。

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