Universität zu Köln

Zhao, Quanying, Huett, Christoph, Lenz-Wiedemann, Victoria I. S., Miao, Yuxin, Yuan, Fei ORCID: 0000-0001-6979-0029, Zhang, Fusuo and Bareth, Georg (2015). Georeferencing Multi-source Geospatial Data Using Multi-temporal TerraSAR-X Imagery: a Case Study in Qixing Farm, Northeast China. Photogramm. Fernerkund. Geoinf. (2). S. 173 - 186. STUTTGART: E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG. ISSN 2363-7145

Full text not available from this repository.

Abstract

Geodata, including optical remote sensing (RS) images and topographic vector data, can be collected from multiple sources such as surveying and mapping agencies, commercial data acquisition companies, and local research institutes. These multi-source data have been widely used in past RS and geographic information system (GIS) studies in various applications. However, spatial inconsistencies inherent in the multi-source data require accurate georeferencing to be applied. This is challenging for study sites with limited accessibility and few reference maps. To address this challenge, this paper proposes an approach for generating ground control points (GCPs) using TerraSAR-X (TSX) data. In a case study, TSX images were used to georeference multi-source data covering the Qixing Farm in Northeast China. First, a stack of five multi-temporal TSX images were processed into one reference image to retrieve GCPs. These were then used to georeference the other datasets including Huanjing (HJ), Landsat 5 (LS 5), FORMOSAT-2 (FS-2), and RapidEye (RE) satellite images, as well as topographic vector datasets. Identifying tie points in the multi-source datasets and the corresponding GCPs in the TSX reference image enables georeferencing without field measurements. Finally the georeferencing accuracies for the optical RS images were assessed by using independent check points. Good results were obtained for the HJ, LS 5, FS-2 and RE images, with an absolute error of 7.15 m, 6.97 m, 8.94 m and 10.52 m, respectively. For the topographic vector datasets, ideal visual results were achieved, attributable to the rubber sheeting algorithm. These results demonstrate that the TSX reference image is suitable for georeferencing multi-source data accurately and cost-efficiently. The developed procedure can be applied in other study regions and is especially valuable for data-poor environments.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Zhao, Quanying UNSPECIFIED UNSPECIFIED UNSPECIFIED Huett, Christoph UNSPECIFIED UNSPECIFIED UNSPECIFIED Lenz-Wiedemann, Victoria I. S. UNSPECIFIED UNSPECIFIED UNSPECIFIED Miao, Yuxin UNSPECIFIED UNSPECIFIED UNSPECIFIED Yuan, Fei UNSPECIFIED orcid.org/0000-0001-6979-0029 UNSPECIFIED Zhang, Fusuo UNSPECIFIED UNSPECIFIED UNSPECIFIED Bareth, Georg UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-416771
DOI:	10.1127/pfg/2015/0262
Journal or Publication Title:	Photogramm. Fernerkund. Geoinf.
Number:	2
Page Range:	S. 173 - 186
Date:	2015
Publisher:	E SCHWEIZERBARTSCHE VERLAGSBUCHHANDLUNG
Place of Publication:	STUTTGART
ISSN:	2363-7145
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Geosciences > Geographisches Institut
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language RUBBER-SHEET ALGORITHM; DATA FUSION; AERIAL; ERRORS; MAPS; GIS Multiple languages Remote Sensing; Imaging Science & Photographic Technology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/41677