@inproceedings{fa9ea6b907b84dbbb15be8638c5f21ac,
title = "MSER based shadow detection in high resolution remote sensing image",
abstract = "The shadows are regarded as obstacles in remote sensing image analysis. With high-resolution remote sensing images developed, especially in urban area, shadow detection plays a much more important role in many applications. This paper presents a novel vision-based shadow detection method. The shadow areas are usually much darker than non-shadow areas visually in high resolution images. In our method, we extracted MSER (Maximally Stable Extremal Regions) in the image. Then these regions are classified into shadow-areas and non-shadow areas. Our method is experimentally verified by applying it to Quickbird images. The experimental result shows that it can effectively extract shadow areas in high resolution remote sensing images.",
keywords = "MSER, Remote sensing, Shadow detection",
author = "Yu, \{Hai Yan\} and Sun, \{Jun Ge\} and Liu, \{Li Ning\} and Wang, \{Yun Hong\} and Wang, \{Yi Ding\}",
year = "2010",
doi = "10.1109/ICMLC.2010.5580577",
language = "英语",
isbn = "9781424465262",
series = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",
publisher = "IEEE Computer Society",
pages = "780--783",
booktitle = "2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010",
address = "美国",
}