COLOR TEXTONS FOR BUILDING DETECTION

Textons are known to be powerful operators in capturing textural properties of image regions. This paper proposes a new method to consistently combine structural cues as well as color information in an unified framework of color textons. They are used as features to detect buildings from optical ima...

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Main Authors: R. Hänsch, O. Hellwich
Format: Article
Language:English
Published: Copernicus Publications 2012-09-01
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/XXXVIII-4-W19/97/2011/isprsarchives-XXXVIII-4-W19-97-2011.pdf
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author R. Hänsch
O. Hellwich
author_facet R. Hänsch
O. Hellwich
author_sort R. Hänsch
collection DOAJ
description Textons are known to be powerful operators in capturing textural properties of image regions. This paper proposes a new method to consistently combine structural cues as well as color information in an unified framework of color textons. They are used as features to detect buildings from optical imagery. Despite the simple classification algorithm, presented results are promising and show the usefulness of the proposed feature operator in remote sensing applications.
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spelling doaj.art-5f5db61cf5284a26a96076e6fc24942d2022-12-21T23:59:25ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342012-09-01XXXVIII-4-W199710010.5194/isprsarchives-XXXVIII-4-W19-97-2011COLOR TEXTONS FOR BUILDING DETECTIONR. Hänsch0O. Hellwich1Technische Universit¨at Berlin Computer Vision and Remote Sensing; FR3-1 Franklinstr. 28/29; 10587 Berlin, GermanyTechnische Universit¨at Berlin Computer Vision and Remote Sensing; FR3-1 Franklinstr. 28/29; 10587 Berlin, GermanyTextons are known to be powerful operators in capturing textural properties of image regions. This paper proposes a new method to consistently combine structural cues as well as color information in an unified framework of color textons. They are used as features to detect buildings from optical imagery. Despite the simple classification algorithm, presented results are promising and show the usefulness of the proposed feature operator in remote sensing applications.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/97/2011/isprsarchives-XXXVIII-4-W19-97-2011.pdf
spellingShingle R. Hänsch
O. Hellwich
COLOR TEXTONS FOR BUILDING DETECTION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title COLOR TEXTONS FOR BUILDING DETECTION
title_full COLOR TEXTONS FOR BUILDING DETECTION
title_fullStr COLOR TEXTONS FOR BUILDING DETECTION
title_full_unstemmed COLOR TEXTONS FOR BUILDING DETECTION
title_short COLOR TEXTONS FOR BUILDING DETECTION
title_sort color textons for building detection
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXVIII-4-W19/97/2011/isprsarchives-XXXVIII-4-W19-97-2011.pdf
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