A cloud removing algorithm for multi-temporal remote-sensing images

Po Hung Tsai, Chao Hung Lin

研究成果: Conference contribution

摘要

Cloud identification and cloud removing are fundamental and important research issues with a wide range of applications in geodesic and remote sensing. In this paper, we introduce a novel cloud removing algorithm to generate cloud-free and even cloud shadow-free images from multi-temporal registered remote-sensing images. The basic idea of the proposed approach is to fill in the missing (i.e., cloud-covered) areas by a seamless cloning approach. For each cloud-covered area, several cloud-free corresponding areas acquired at different times are automatically selected according to the image quality and the captured time, and then a cloning technique based on solving Poisson equations is performed to modify the appearance of cloud-covered areas seamlessly. The experimental results show that the proposed approach is efficient and work well on images with persistent and extensive cloud covers.

原文English
主出版物標題30th Asian Conference on Remote Sensing 2009, ACRS 2009
頁面1523-1528
頁數6
出版狀態Published - 2009 十二月 1
事件30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
持續時間: 2009 十月 182009 十月 23

出版系列

名字30th Asian Conference on Remote Sensing 2009, ACRS 2009
3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
國家China
城市Beijing
期間09-10-1809-10-23

指紋

Cloning
Remote sensing
Poisson equation
Image quality

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

引用此文

Tsai, P. H., & Lin, C. H. (2009). A cloud removing algorithm for multi-temporal remote-sensing images. 於 30th Asian Conference on Remote Sensing 2009, ACRS 2009 (頁 1523-1528). (30th Asian Conference on Remote Sensing 2009, ACRS 2009; 卷 3).
Tsai, Po Hung ; Lin, Chao Hung. / A cloud removing algorithm for multi-temporal remote-sensing images. 30th Asian Conference on Remote Sensing 2009, ACRS 2009. 2009. 頁 1523-1528 (30th Asian Conference on Remote Sensing 2009, ACRS 2009).
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title = "A cloud removing algorithm for multi-temporal remote-sensing images",
abstract = "Cloud identification and cloud removing are fundamental and important research issues with a wide range of applications in geodesic and remote sensing. In this paper, we introduce a novel cloud removing algorithm to generate cloud-free and even cloud shadow-free images from multi-temporal registered remote-sensing images. The basic idea of the proposed approach is to fill in the missing (i.e., cloud-covered) areas by a seamless cloning approach. For each cloud-covered area, several cloud-free corresponding areas acquired at different times are automatically selected according to the image quality and the captured time, and then a cloning technique based on solving Poisson equations is performed to modify the appearance of cloud-covered areas seamlessly. The experimental results show that the proposed approach is efficient and work well on images with persistent and extensive cloud covers.",
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Tsai, PH & Lin, CH 2009, A cloud removing algorithm for multi-temporal remote-sensing images. 於 30th Asian Conference on Remote Sensing 2009, ACRS 2009. 30th Asian Conference on Remote Sensing 2009, ACRS 2009, 卷 3, 頁 1523-1528, 30th Asian Conference on Remote Sensing 2009, ACRS 2009, Beijing, China, 09-10-18.

A cloud removing algorithm for multi-temporal remote-sensing images. / Tsai, Po Hung; Lin, Chao Hung.

30th Asian Conference on Remote Sensing 2009, ACRS 2009. 2009. p. 1523-1528 (30th Asian Conference on Remote Sensing 2009, ACRS 2009; 卷 3).

研究成果: Conference contribution

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AB - Cloud identification and cloud removing are fundamental and important research issues with a wide range of applications in geodesic and remote sensing. In this paper, we introduce a novel cloud removing algorithm to generate cloud-free and even cloud shadow-free images from multi-temporal registered remote-sensing images. The basic idea of the proposed approach is to fill in the missing (i.e., cloud-covered) areas by a seamless cloning approach. For each cloud-covered area, several cloud-free corresponding areas acquired at different times are automatically selected according to the image quality and the captured time, and then a cloning technique based on solving Poisson equations is performed to modify the appearance of cloud-covered areas seamlessly. The experimental results show that the proposed approach is efficient and work well on images with persistent and extensive cloud covers.

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Tsai PH, Lin CH. A cloud removing algorithm for multi-temporal remote-sensing images. 於 30th Asian Conference on Remote Sensing 2009, ACRS 2009. 2009. p. 1523-1528. (30th Asian Conference on Remote Sensing 2009, ACRS 2009).