NDLI: Evaluating PolInSAR parameter estimation using tomographic imaging results

Content Provider	IEEE Xplore Digital Library
Author	Reigber, A. Neumann, M. Guillaso, S. Sauer, S. Ferro-Famil, L.
Copyright Year	2005
Description	Author affiliation: Comput. Vision & Remote Sensing Group, Berlin Univ. of Technol. (Reigber, A.; Neumann, M.; Guillaso, S.)
Abstract	This paper concentrates on the forest height and ground topography estimation by means of polarimetric SAR interferometry and tomography. In polarimetric SAR interferometry, one of the most important methods described in literature is the line-fitting approach in the complex unitary circle (S.R. Cloude and K.P. Papathanassiou, 2003). Although it has shown their principal potential, an open issue is still the precise validation of the estimated parameters, as ground-truth collection is an extremely complex task in the case of forest parameters. SAR tomography is an alternative technique, which generates a fully three-dimensional representation of the imaged scene through coherent combination of a greater number of tracks (A. Reigber and A. Moreira, 2000) (S. Guillaso and A. Reigber, 2005). Forest ground and canopy are directly visible in a tomographic image; a tomographic image can therefore be used as an ideal validation base for PolInSAR forest parameter estimation. This paper compares high-resolution polarimetric SAR tomograms with PolInSAR forest height estimations, both derived from the same data set. This allows to identify areas of good applicability, as well as principal deficiencies of the different PolInSAR approaches
Starting Page	189
Ending Page	192
File Size	576252
Page Count	4
File Format	PDF
ISBN	2960055136
DOI	10.1109/EURAD.2005.1605597
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-10-03
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	EUROPEAN MICROWAVE ASSOCIATION
Subject Keyword	Computer vision Parameter estimation Laboratories Layout Tomography Surfaces Scattering parameters Paper technology Remote sensing Interferometry
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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The distribution of interferometric phase differentials and a self-initialising PolInSAR classifier

Robust forest height extraction using polarimetric SAR interferometry

Data classification based on PolInSAR coherence shapes

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Accuracy improvement of maximum likelihood inversion of forest height with PolInSAR

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Evaluating PolInSAR parameter estimation using tomographic imaging results

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