NDLI: The impact of residual motion deviations on forest height inversion by SAR remote sensing

Content Provider	IEEE Xplore Digital Library
Author	Hanwei Sun Tao Zeng Jian Yang
Copyright Year	2012
Description	Author affiliation: Department of Electronic Engineering, Beijing Institute of Technology, 100081, China (Hanwei Sun; Tao Zeng) \|\| Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China (Jian Yang)
Abstract	Synthetic Aperture Radar (SAR) has been proved as an effective instrument for detecting vertical structures of forest canopies. However, the quality of SAR images could decline because of phase errors caused by the residual motion deviations after motion compensation or autofocus process. Then, the accuracy of forest height inversion will be affected. In this paper, the relationship between residual phase errors and the accuracy of the retrieved height is established via three-dimensional forest canopies simulation of SAR. The residual motion deviations with different amplitudes and frequencies are considered in simulation experiments. Reasonable levels of estimated phase errors to reach high accuracy of retrieved height are achieved. It is demonstrated that higher accuracy of estimated phase errors is demanded for forest height inversion based on SAR data.
Starting Page	6503
Ending Page	6506
File Size	917838
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6352750
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Synthetic aperture radar Azimuth Accuracy Scattering Backscatter Vegetation forest height inversion SAR residual motion deviation three-dimensional forest canopies simulation
Content Type	Text
Resource Type	Article

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