@inproceedings{88148a7ed0be4d8cb966eb328ac957a7,
title = "River detection from SAR images",
abstract = "River detection from SAR images plays an important role in civilian applications. A new method for river detection is proposed in this paper, which includes fuzzy clustering, wavelet transform and using snake model. River area can be extracted by clustering and morphological processing. Then the edge of river is extracted with the wavelet modulus maximum method (WTMM), and is smoothed by the snake model. A Radarsat-1 image is used for the experiment. The experimental result shows that the method proposed in this paper is efficient for river detection and edge location.",
keywords = "WTMM algorithm, edge location, fuzzy clustering, river detection, snake model",
author = "Wenguang Wang and Jun Wang and Hui Zhao and Yunneng Yuan and Jinping Sun",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th IEEE Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015 ; Conference date: 01-09-2015 Through 04-09-2015",
year = "2015",
month = oct,
day = "23",
doi = "10.1109/APSAR.2015.7306297",
language = "英语",
series = "Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "680--683",
booktitle = "Proceedings of the 2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar, APSAR 2015",
address = "美国",
}