Three-Dimensional Object Reconstruction from Sparse Multi-Pass SAR Data

被引：4

作者：

Scarnati, Theresa ^{[1
]}

Jamora, J. R. ^{[2
]}

机构：

[1] Qualis Corp, Huntsville, AL 35805 USA

[2] Air Force Res Lab, Wright Patterson AFB, OH USA

来源：

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XXVIII | 2021年 / 11728卷

关键词：

Synthetic Aperture Radar; Three-Dimensional Reconstruction; Sparsity; Limited Data;

D O I：

10.1117/12.2593601

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

As humans, we perceive the world in three dimensions. However, many militarily relevant sensing capabilities only display two-dimensional information to users in the form of imagery. In this work we develop and analyze a technique for reconstructing objects in three dimensions given sparse amounts of synthetic aperture radar (SAR) data. We analyze the required sampling rates of the proposed techniques and conduct a thorough analysis of the accuracy of our methods.

引用

页数：13

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