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Proceedings Paper

Quality improvement of Beijing-1 small satellite images
Author(s): Qiong Ran; Yaobin Chi; Zhiyong Wang
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Paper Abstract

Striping noise and image degradation are the main factors that reduce the quality of Beijing-1 small satellite raw data images, thus noise removal and image restoration are the two important tasks in processing and application of the images. This paper presents efficient noise removal and image restoration methods on analysis of the imaging system characteristics and the image quality reduction principles. The proposed methods evidently improve quality of the images, and are employed in practical processing procedures of Beijing-1 small satellite images.

Paper Details

Date Published: 24 November 2008
PDF: 7 pages
Proc. SPIE 7123, Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China, 712304 (24 November 2008); doi: 10.1117/12.815550
Show Author Affiliations
Qiong Ran, Institute of Remote Sensing Applications (China)
Beijing Landview Mapping Information Technology Co., Ltd. (China)
Yaobin Chi, Institute of Remote Sensing Applications (China)
Beijing Landview Mapping Information Technology Co., Ltd. (China)
Zhiyong Wang, Beijing Landview Mapping Information Technology Co., Ltd. (China)


Published in SPIE Proceedings Vol. 7123:
Remote Sensing of the Environment: 16th National Symposium on Remote Sensing of China
Qingxi Tong, Editor(s)

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