摘要
From the multisquint spaceborne Synthetic Aperture Radar (SAR) images, a novel method with low computing cost is proposed to perform the sea-land coarse discrimination. Both the two and three-term Low Rank and Sparse (LRS) decompositions are used, where the sparse and error terms are profited, respectively. The differences between each image pairs are then stacked and averaged. A thresholding test is finally operated. The experiment based on the real TerraSAR-X data preliminarily reveals that the land and sea areas could be roughly separated. The application includes avoiding territorial false alarms when conducting maritime surveillance in the sea-land junction region.
| 源语言 | 英语 |
|---|---|
| 页 | 3224-3227 |
| 页数 | 4 |
| DOI | |
| 出版状态 | 已出版 - 2021 |
| 活动 | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 - Brussels, 比利时 期限: 12 7月 2021 → 16 7月 2021 |
会议
| 会议 | 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 |
|---|---|
| 国家/地区 | 比利时 |
| 市 | Brussels |
| 时期 | 12/07/21 → 16/07/21 |
指纹
探究 'SEA-LAND COARSE SEGMENTATION WITH TWO AND THREE-TERM LRS DECOMPOSITIONS IN MULTISQUINT SPACEBORNE SAR IMAGERY' 的科研主题。它们共同构成独一无二的指纹。引用此
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