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

Po Hung Tsai, Chao Hung Lin

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication30th Asian Conference on Remote Sensing 2009, ACRS 2009
Pages1523-1528
Number of pages6
Publication statusPublished - 2009 Dec 1
Event30th Asian Conference on Remote Sensing 2009, ACRS 2009 - Beijing, China
Duration: 2009 Oct 182009 Oct 23

Publication series

Name30th Asian Conference on Remote Sensing 2009, ACRS 2009
Volume3

Other

Other30th Asian Conference on Remote Sensing 2009, ACRS 2009
CountryChina
CityBeijing
Period09-10-1809-10-23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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