@inproceedings{546fb205ee2d44faa07029a0fe0915f9,
title = "Unsupervised detection of thin water surfaces in SWOT images based on segment detection and connection",
abstract = "The objective of the Surface Water and Ocean Topography (SWOT) mission is to regularly monitor the height of the earth's water surfaces. One of the challenges toward obtaining global measurements of these surfaces is to detect small water areas. In this article we introduce a method for the detection of thin water surfaces, such as rivers, in SWOT images. It combines a low-level step (segment detection) with a high-level regularization of these features. The method is then tested on a simulated SWOT image.",
keywords = "Classification, Linear features detection, SAR, SWOT",
author = "S. Lobry and F. Tupin and R. Fjortoft",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 37th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2017 ; Conference date: 23-07-2017 Through 28-07-2017",
year = "2017",
month = dec,
day = "1",
doi = "10.1109/IGARSS.2017.8127807",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS) ",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3720--3723",
booktitle = "2017 IEEE International Geoscience and Remote Sensing Symposium",
}