@inproceedings{d8acc6f9e82548a0b975e77183924450,
title = "Color compensation for cloud shadows",
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.",
keywords = "Histogram Matching, Remote Sensing Images, Shadow Detection",
author = "Tsai, {I. Chun} and Lin, {Chao Hung} and Hsu, {Wei Yen}",
year = "2012",
language = "English",
isbn = "9781622769742",
volume = "3",
series = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",
pages = "1894--1897",
booktitle = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012",
note = "33rd Asian Conference on Remote Sensing 2012, ACRS 2012 ; Conference date: 26-11-2012 Through 30-11-2012",
}