@inproceedings{152e7d5b78aa4e6fbac39ba4d0dd9b54,
title = "Lake Detection with Sentinel-1 Data using a Grab-Cut Method and its Multi-Temporal Extension",
abstract = "This paper presents a semi-guided method to detect lakes in Sentinel-1 SAR data. The proposed approach is an adaptation of the grab-cut framework developed in [1]. Starting from a coarse bounding box around the lake, an accurate segmentation is extracted using a Conditional Random Field formalism and a graph-cut based optimization. Then an extension of this approach to process jointly a stack of multi-temporal data is presented. A temporal regularization term is introduced to control the joint segmentation. The proposed approach is evaluated on Sentinel-1 datasets. Qualitative and quantitative results demonstrate the interest of the proposed framework and its robustness to the initial-ization polygon of the lake.",
keywords = "SAR imaging, Sentinel-1, grabcut, lake detection, water surface",
author = "Nicolas Gasnier and Loic Denis and Roger Fjortoft and Frederic Liege and Florence Tupin",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 ; Conference date: 17-07-2022 Through 22-07-2022",
year = "2022",
month = jan,
day = "1",
doi = "10.1109/IGARSS46834.2022.9883219",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2175--2178",
booktitle = "IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium",
}