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

Po Hung Tsai; Chao Hung Lin

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

Department of Geomatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages	1523-1528
Number of pages	6
Publication status	Published - 2009 Dec 1
Event	30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China Duration: 2009 Oct 18 → 2009 Oct 23

Publication series

Name	30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume	3

Other

Other	30th Asian Conference on Remote Sensing 2009, ACRS 2009
Country	China
City	Beijing
Period	09-10-18 → 09-10-23

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

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Cite this

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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.",

author = "Tsai, {Po Hung} and Lin, {Chao Hung}",

year = "2009",

month = dec,

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language = "English",

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note = "30th Asian Conference on Remote Sensing 2009, ACRS 2009 ; Conference date: 18-10-2009 Through 23-10-2009",

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T1 - A cloud removing algorithm for multi-temporal remote-sensing images

AU - Tsai, Po Hung

AU - Lin, Chao Hung

PY - 2009/12/1

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N2 - 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.

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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