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Proceedings Paper

Study on mosaic method for new mode satellite images with high spatial resolution covering urban areas
Author(s): Qiong Ran; Zhiyong Wang; Qiang Wen; Wei Li; Lianru Gao
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Paper Abstract

New imaging mode has been brought up for collecting multiple scenes in one pass, as is implemented on World View-II. This greatly helps for acquiring high spatial resolution images that cover urban areas, and is to be adopted in the coming Chinese satellites. This paper is to discuss the mosaic characteristic and propose a mosaic line generation method by integrating correlation and the road information. The mosaic line is formed by linking the unique mosaic point on each line restricted within the road. We position the starting point by connectivity analysis of the road lines, and then locate the adjacent point along the road with connectivity analysis. A weighed vector, combining correlation and distance to centre of the road, is used to pick the best point. The points are located on the road unless it is unavoidable, for example, the road ends or the line touches edge of the image. This method provides instant mosaic line generation for urban areas with road information available in most cases. By resorting to the road, the mosaic line is more applicable since many problems for mosaic of high spatial resolution images are solved, for example, tilting of the buildings, the shadows, motions of the vehicles etc. Experiments have been done with WV-II images and gained favorable results.

Paper Details

Date Published: 18 November 2014
PDF: 7 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 926305 (18 November 2014); doi: 10.1117/12.2065536
Show Author Affiliations
Qiong Ran, Beijing Univ. of Chemical Technology (China)
Twenty First Century Aerospace Technology Co., Ltd (China)
Zhiyong Wang, Twenty First Century Aerospace Technology Co., Ltd (China)
Qiang Wen, Twenty First Century Aerospace Technology Co., Ltd (China)
Wei Li, Beijing Univ. of Chemical Technology (China)
Lianru Gao, Institute of Remote Sensing and Digital Earth (China)


Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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