NDLI: A Robust Motion Compensation Approach for UAV SAR Imagery

Content Provider	IEEE Xplore Digital Library
Author	Lei Zhang Zhijun Qiao Meng-dao Xing Lei Yang Zheng Bao
Copyright Year	1980
Abstract	Unmanned aerial vehicle (UAV) synthetic aperture radar (SAR) is an essential tool for modern remote sensing applications. Owing to its size and weight constraints, UAV is very sensitive to atmospheric turbulence that causes serious trajectory deviations. In this paper, a novel databased motion compensation (MOCO) approach is proposed for the UAV SAR imagery. The approach is implemented by a three-step process: 1) The range-invariant motion error is estimated by the weighted phase gradient autofocus (WPGA), and the nonsystematic range cell migration function is calculated from the estimate for each subaperture SAR data; 2) the retrieval of the range-dependent phase error is executed by a local maximum-likelihood WPGA algorithm; and 3) the subaperture phase errors are coherently combined to perform the MOCO for the full-aperture data. Both simulated and real-data experiments show that the proposed approach is appropriate for highly precise imaging for UAV SAR equipped with only low-accuracy inertial navigation system.
Sponsorship	IEEE Geoscience and Remote Sensing Society IEEE URSI
Starting Page	3202
Ending Page	3218
Page Count	17
File Size	2608082
File Format	PDF
ISSN	01962892
Volume Number	50
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electronics packaging Estimation Trajectory Robustness Navigation Thyristors Geometry weighted phase gradient autofocus (WPGA) Local maximum-likelihood (LML) motion compensation (MOCO) phase gradient autofocus (PGA) synthetic aperture radar (SAR) unmanned aerial vehicle (UAV)
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Electrical and Electronic Engineering

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