Accurate 3D Measurement from Two SAR Images Without Prior Knowledge of Scene
Accurate 3D Measurement from Two SAR Images Without Prior Knowledge of Scene
复制标题
在无需事先了解场景的情况下，通过两张 SAR 图像进行精确 3D 测量
DOI：
10.1109/igarss47720.2021.9554386
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发表时间：
2021
期刊：
影响因子：
--
通讯作者：
Aoki Takafumi
中科院分区：
文献类型：
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作者：
Insfran Karl;Ito Koichi;Aoki Takafumi
利用合成孔径雷达(SAR)进行遥感是有效管理灾害的一项不可或缺的技术，因为它的观测面积大、穿透云层的能力强，而且不受阳光的影响，可以在不受天气或一天中任何时间影响的情况下快速观测到大范围受灾地区。特别是，从合成孔径雷达图像进行3D测量可以帮助更好地了解受影响的区域，并加快决策速度。大多数方法需要对地面控制点等场景的先验知识才能达到合理水平的3D测量精度，从而失去了快速观测的优势。本文提出了一种基于立体视觉原理的、无需任何场景先验知识的SAR图像的精确三维测量方法。通过对机载合成孔径雷达图像数据的实验，验证了该方法与传统方法相比的有效性。
Remote sensing using Synthetic Aperture Radar (SAR) is an indispensable technology for effective disaster management, owing to its large observation area, cloud penetrating ability and its independence from sunlight, which allow for quick observation of large disaster affected areas disregarding weather or time of the day. In particular, 3D measurement from SAR images could contribute a better understanding of the affected area and speed up decision making. Most methods require prior knowledge of the scene such as ground control points to achieve a reasonable level of 3D measurement accuracy, resulting in losing the advantage of quick observation. In this paper, we propose an accurate 3D measurement method from SAR images based on the principle of stereo vision without any prior knowledge of the scene. We demonstrate the effectiveness of our method compared with the conventional method through a set of experiments using an airborne SAR image dataset.