Towards automatic SAR-optical stereogrammetry over urban areas using very high resolution imagery

被引：18

作者：

Qiu, Chunping ^{[1
]}

Schmitt, Michael ^{[1
]}

Zhu, Xiao Xiang ^{[1
,2
]}

机构：

[1] Tech Univ Munich, Signal Proc Earth Observat, Munich, Germany

[2] German Aerosp Ctr DLR, Remote Sensing Technol Inst IMF, Wessling, Germany

来源：

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 2018年 / 138卷

基金：

欧洲研究理事会;

关键词：

Synthetic Aperture Radar (SAR); Optical images; Remote sensing; Data fusion; Stereogrammetry; FUSION;

D O I：

10.1016/j.isprsjprs.2017.12.006

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

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 hand-crafted 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. (C) 2017 The Authors. Published by Elsevier B.V. on behalf of International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).

引用

页码：218 / 231

页数：14

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