Color compensation for cloud shadows

I. Chun Tsai, Chao Hung Lin, Wei Yen Hsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cloud covers are generally present in optical satellite images, thereby limiting the usage of optical images and increasing the difficulty of image analysis. In this paper, a cloud shadow compensation approach aiming at easing difficulties suffered from cloud covers is introduced. In the proposed approach, information of shadow pixels is compensated by a statistic adjustment method and a global optimization process. Experimental analyses on the satellite images acquired by the Landsat-7 Enhanced Thematic Mapper Plus (ETM+) sensor were conducted. The results including quantitative and qualitative analyses on simulated data show that our method can successfully compensate for the intensities of shadow pixels.

Original languageEnglish
Title of host publication33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages1894-1897
Number of pages4
Volume3
Publication statusPublished - 2012
Externally publishedYes
Event33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand
Duration: Nov 26 2012Nov 30 2012

Conference

Conference33rd Asian Conference on Remote Sensing 2012, ACRS 2012
CountryThailand
CityPattaya
Period11/26/1211/30/12

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Keywords

  • Histogram Matching
  • Remote Sensing Images
  • Shadow Detection

ASJC Scopus subject areas

  • Information Systems

Cite this

Tsai, I. C., Lin, C. H., & Hsu, W. Y. (2012). Color compensation for cloud shadows. In 33rd Asian Conference on Remote Sensing 2012, ACRS 2012 (Vol. 3, pp. 1894-1897)