THE EFFECTS OF NOISE ON MODEL INVERSION FOR THE RETRIEVAL OF FOREST STRUCTURE FROM SAR DATA

D. Clewley*, R. Lucas, M. Moghaddam, P. Bunting

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

3 Citations (SciVal)

Abstract

The inversion of physics based models presents an alternative to empirical relationships for the retrieval of forest structure from Synthetic Aperture Radar (SAR) data. A major disadvantage of such techniques is instability in the presence of moderate levels of noise. The effects of noise on the accuracy with which parameters can be retrieved is evaluated in this study under a number of conditions.

Original languageEnglish
Title of host publication2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Place of PublicationNEW YORK
PublisherIEEE Press
Pages7173-7176
Number of pages4
ISBN (Print)978-1-4673-1159-5
Publication statusPublished - 2012
EventIEEE International Geoscience and Remote Sensing Symposium (IGARSS) - Munich, Germany
Duration: 22 Jul 201227 Jul 2012

Publication series

NameIEEE International Symposium on Geoscience and Remote Sensing IGARSS
PublisherIEEE
ISSN (Print)2153-6996

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Country/TerritoryGermany
CityMunich
Period22 Jul 201227 Jul 2012

Keywords

  • SCATTERING
  • BIOMASS
  • BACKSCATTER
  • RADAR
  • WOODLANDS
  • QUEENSLAND
  • Estimation Algorithm
  • Biomass
  • AUSTRALIA
  • Forest Structure
  • Synthetic Aperture Radar

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