@inproceedings{a0aaa02015884661bd4196a5297fe285,
title = "Atmospheric correction model of Landsat images",
abstract = "An operational atmosphere correction algorithm based on dark object method and the look up table which founded by MODTRAN4 model was introduced for Landsat images herein. The information of the satellite remote sensing images was used to support the atmosphere correction. The algorithm was applied to the Landsat ETM+ imagery and the comparison results of before and after atmospheric correction show that the impact of Landsat imagery caused by molecules, water vapor, ozone, and aerosol particles in the atmosphere was reduced effectively after the correction. This new atmospheric correction algorithm is effective and capable of retrieving surface reflectance accurately. The surface reflectivity was retrieved exactly to help remote sensing information extraction and thematic interpretation.",
keywords = "Atmosphere correction, Landsat TM/ETM+, Look up table, MODTRAN4",
author = "Chaoshun Liu and Wei Gao and Zhiqiang Gao and Runhe Shi",
year = "2009",
doi = "10.1117/12.824230",
language = "英语",
isbn = "9780819477446",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability VI",
note = "Remote Sensing and Modeling of Ecosystems for Sustainability VI ; Conference date: 05-08-2009 Through 06-08-2009",
}