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

  • Hanwei Sun*
  • , Tao Zeng
  • , Jian Yang
  • *Corresponding author for this work
  • Beijing Institute of Technology
  • Tsinghua University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationIGARSS 2012 - 2012 IEEE International Geoscience and Remote Sensing Symposium
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6503-6506
Number of pages4
ISBN (Electronic)9781467311595
DOIs
Publication statusPublished - 2012
Event32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 22 Jul 201227 Jul 2012

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
ISSN (Print)2153-6996
ISSN (Electronic)2153-7003

Conference

Conference32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/TerritoryGermany
CityMunich
Period22/07/1227/07/12

Keywords

  • forest height inversion
  • residual motion deviation
  • SAR
  • three-dimensional forest canopies simulation

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