COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION

In this paper we propose to study the potential of jointly using polarimetric and tomographic SAR data to recognize and localize buildings in complex scenarios. We present extraction methods for both polarimetric and tomographic features. One the one hand, we propose to use the polarimetric bilate...

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Main Authors: O. D'Hondt, S. Guillaso, O. Hellwich
Format: Article
Language:English
Published: Copernicus Publications 2013-04-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/75/2013/isprsarchives-XL-1-W1-75-2013.pdf
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spelling doaj-dcdade17078c45e4bb50ea9f2ab444482020-11-24T22:49:35ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342013-04-01XL-1-W1758010.5194/isprsarchives-XL-1-W1-75-2013COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATIONO. D'Hondt0S. Guillaso1O. Hellwich2Computer Vision and Remote Sensing Group, Technical University of Berlin, Berlin, GermanyComputer Vision and Remote Sensing Group, Technical University of Berlin, Berlin, GermanyComputer Vision and Remote Sensing Group, Technical University of Berlin, Berlin, GermanyIn this paper we propose to study the potential of jointly using polarimetric and tomographic SAR data to recognize and localize buildings in complex scenarios. We present extraction methods for both polarimetric and tomographic features. One the one hand, we propose to use the polarimetric bilateral filter that has proved to be a powerful tool to retrieve the polarimetric covariance matrix while reducing speckle and preserving edges. Thus, polarimetric decompositions can be used for physical interpretation. On the other hand, the TomoSNI and TomoSeed algorithms allow to respectively extract interest points and segment geometric primitives in 3D point clouds obtained with tomographic focusing methods. We show how the output of such algorithms could be combined in order to allow the extraction of buildings. We also analyze different issues related to complex scenarios that may impede a correct detection and discuss some possible solutions.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/75/2013/isprsarchives-XL-1-W1-75-2013.pdf
collection DOAJ
language English
format Article
sources DOAJ
author O. D'Hondt
S. Guillaso
O. Hellwich
spellingShingle O. D'Hondt
S. Guillaso
O. Hellwich
COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet O. D'Hondt
S. Guillaso
O. Hellwich
author_sort O. D'Hondt
title COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
title_short COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
title_full COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
title_fullStr COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
title_full_unstemmed COMPLEMENTARITY OF SAR POLARIMETRY AND TOMOGRAPHY FOR BUILDING DETECTION AND CHARACTERIZATION
title_sort complementarity of sar polarimetry and tomography for building detection and characterization
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2013-04-01
description In this paper we propose to study the potential of jointly using polarimetric and tomographic SAR data to recognize and localize buildings in complex scenarios. We present extraction methods for both polarimetric and tomographic features. One the one hand, we propose to use the polarimetric bilateral filter that has proved to be a powerful tool to retrieve the polarimetric covariance matrix while reducing speckle and preserving edges. Thus, polarimetric decompositions can be used for physical interpretation. On the other hand, the TomoSNI and TomoSeed algorithms allow to respectively extract interest points and segment geometric primitives in 3D point clouds obtained with tomographic focusing methods. We show how the output of such algorithms could be combined in order to allow the extraction of buildings. We also analyze different issues related to complex scenarios that may impede a correct detection and discuss some possible solutions.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/75/2013/isprsarchives-XL-1-W1-75-2013.pdf
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AT sguillaso complementarityofsarpolarimetryandtomographyforbuildingdetectionandcharacterization
AT ohellwich complementarityofsarpolarimetryandtomographyforbuildingdetectionandcharacterization
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