Color compensation for cloud shadows

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

Color compensation for cloud shadows

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Pages	1894-1897
Number of pages	4
Volume	3
Publication status	Published - 2012
Externally published	Yes
Event	33rd Asian Conference on Remote Sensing 2012, ACRS 2012 - Pattaya, Thailand Duration: Nov 26 2012 → Nov 30 2012

Conference

Conference	33rd Asian Conference on Remote Sensing 2012, ACRS 2012
Country	Thailand
City	Pattaya
Period	11/26/12 → 11/30/12

Keywords

Histogram Matching
Remote Sensing Images
Shadow Detection

ASJC Scopus subject areas

Information Systems

Access to Document

Fingerprint Dive into the research topics of 'Color compensation for cloud shadows'. Together they form a unique fingerprint.

Cite this

@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",

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",

}

TY - GEN

T1 - Color compensation for cloud shadows

AU - Tsai, I. Chun

AU - Lin, Chao Hung

AU - Hsu, Wei Yen

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Histogram Matching

KW - Remote Sensing Images

KW - Shadow Detection

UR - http://www.scopus.com/inward/record.url?scp=84880008046&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84880008046&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84880008046

SN - 9781622769742

VL - 3

SP - 1894

EP - 1897

BT - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

T2 - 33rd Asian Conference on Remote Sensing 2012, ACRS 2012

Y2 - 26 November 2012 through 30 November 2012

ER -