SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION

The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we approached the segmentation of SAR and optical images acquired from the same airborne platform –...

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Main Authors: J. Fagir, A. Schubert, M. Frioud, D. Henke
Format: Article
Language:English
Published: Copernicus Publications 2017-05-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/639/2017/isprs-archives-XLII-1-W1-639-2017.pdf
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author J. Fagir
A. Schubert
M. Frioud
D. Henke
author_facet J. Fagir
A. Schubert
M. Frioud
D. Henke
author_sort J. Fagir
collection DOAJ
description The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we approached the segmentation of SAR and optical images acquired from the same airborne platform – leading to an oblique view with high resolution and thus increased complexity. To overcome the geometric differences, we generated a digital surface model (DSM) from adjacent optical images and used it to project both the DSM and SAR data into the optical camera frame, followed by segmentation with each channel. The fused segmentation algorithm was found to out-perform the single-channel version.
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spelling doaj.art-d8323009f82a4cc684c9f6f7d5c719f32022-12-22T01:16:10ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342017-05-01XLII-1-W163964210.5194/isprs-archives-XLII-1-W1-639-2017SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATIONJ. Fagir0A. Schubert1M. Frioud2D. Henke3Remote Sensing Laboratories, University of Zürich, CH-8057 Z¨urich, SwitzerlandRemote Sensing Laboratories, University of Zürich, CH-8057 Z¨urich, SwitzerlandRemote Sensing Laboratories, University of Zürich, CH-8057 Z¨urich, SwitzerlandRemote Sensing Laboratories, University of Zürich, CH-8057 Z¨urich, SwitzerlandThe fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we approached the segmentation of SAR and optical images acquired from the same airborne platform – leading to an oblique view with high resolution and thus increased complexity. To overcome the geometric differences, we generated a digital surface model (DSM) from adjacent optical images and used it to project both the DSM and SAR data into the optical camera frame, followed by segmentation with each channel. The fused segmentation algorithm was found to out-perform the single-channel version.http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/639/2017/isprs-archives-XLII-1-W1-639-2017.pdf
spellingShingle J. Fagir
A. Schubert
M. Frioud
D. Henke
SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
title_full SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
title_fullStr SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
title_full_unstemmed SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
title_short SAR AND OBLIQUE AERIAL OPTICAL IMAGE FUSION FOR URBAN AREA IMAGE SEGMENTATION
title_sort sar and oblique aerial optical image fusion for urban area image segmentation
url http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-1-W1/639/2017/isprs-archives-XLII-1-W1-639-2017.pdf
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