摘要翻译：
本文讨论了利用甚高分辨率(VHR)遥感图像对城市地区进行SAR光学立体成像测量的潜力和挑战。由于我们主要从几何学的角度来做这件事，我们首先分析了不同的体视图构型所期望的高度重建精度。在此基础上，我们提出了一种基于类核极搜索窗口约束的连接点匹配和三维重建策略。为了驱动匹配并确保一定的鲁棒性，我们结合了不同的手工相似性度量。在实验中，我们使用Worldview-2、TerraSAR-X和MEMPHIS传感器获得的真实测试数据。我们的结果表明，利用VHR图像进行SAR光学立体成像具有米域三维定位精度，但这些强异构多传感器数据的匹配仍然非常困难。关键词：合成孔径雷达(SAR)，光学图像，遥感，数据融合，立体测量
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英文标题：
《Towards Automatic SAR-Optical Stereogrammetry over Urban Areas using
  Very High Resolution Imagery》
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作者：
Chunping Qiu, Michael Schmitt, Xiao Xiang Zhu
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Image and Video Processing        图像和视频处理
分类描述：Theory, algorithms, and architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals in a wide variety of applications. Topics of interest include: mathematical, statistical, and perceptual image and video modeling and representation; linear and nonlinear filtering, de-blurring, enhancement, restoration, and reconstruction from degraded, low-resolution or tomographic data; lossless and lossy compression and coding; segmentation, alignment, and recognition; image rendering, visualization, and printing; computational imaging, including ultrasound, tomographic and magnetic resonance imaging; and image and video analysis, synthesis, storage, search and retrieval.
用于图像、视频和多维信号的形成、捕获、处理、通信、分析和显示的理论、算法和体系结构。感兴趣的主题包括：数学，统计，和感知图像和视频建模和表示；线性和非线性滤波、去模糊、增强、恢复和重建退化、低分辨率或层析数据；无损和有损压缩编码；分割、对齐和识别；图像渲染、可视化和打印；计算成像，包括超声、断层和磁共振成像；以及图像和视频的分析、合成、存储、搜索和检索。
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英文摘要：
  In this paper we discuss the potential and challenges regarding SAR-optical stereogrammetry for urban areas, using very-high-resolution (VHR) remote sensing imagery. Since we do this mainly from a geometrical point of view, we first analyze the height reconstruction accuracy to be expected for different stereogrammetric configurations. Then, we propose a strategy for simultaneous tie point matching and 3D reconstruction, which exploits an epipolar-like search window constraint. To drive the matching and ensure some robustness, we combine different established handcrafted similarity measures. For the experiments, we use real test data acquired by the Worldview-2, TerraSAR-X and MEMPHIS sensors. Our results show that SAR-optical stereogrammetry using VHR imagery is generally feasible with 3D positioning accuracies in the meter-domain, although the matching of these strongly hetereogeneous multi-sensor data remains very challenging. Keywords: Synthetic Aperture Radar (SAR), optical images, remote sensing, data fusion, stereogrammetry
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PDF链接：
https://arxiv.org/pdf/1802.09036