An optimal boundary determination approach for cloud removal in satellite image

Kang Hua Lai, Chao-Hung Lin

Research output: Contribution to conferencePaperpeer-review

Abstract

Satellite image have recently been wide used in academia and industry, and thus providing high quality and even cloud-free satellite image is a fundamental and important issue. Globally, the land scenes are on average about 35% cloud covered, as reported by Ju and Roy [1], indicating that cloud covers are generally present in optical satellite images. This phenomenon limits the usage of optical images and increases the difficulty of image analysis. Considerable research efforts have been devoted to the issue of cloud removal to ease the difficulties caused by cloud covers [2-13]. These efforts and studies focus on how to detect clouds and how to reconstruct the information of cloud-contaminated pixels. However, information reconstruction is generally sensitive to the feature structures lying on the boundaries of the cloud-contaminated areas. In this paper, we address the topic of determining optimal boundaries of cloud-contaminated areas for the purpose of cloud removal.

Original languageEnglish
Pages2241-2244
Number of pages4
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012 - Munich, Germany
Duration: 2012 Jul 222012 Jul 27

Other

Other2012 32nd IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2012
Country/TerritoryGermany
CityMunich
Period12-07-2212-07-27

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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