跳到主要导航 跳到搜索 跳到主要内容

SEA-LAND COARSE SEGMENTATION WITH TWO AND THREE-TERM LRS DECOMPOSITIONS IN MULTISQUINT SPACEBORNE SAR IMAGERY

  • Yulun Li
  • , Wei Yang*
  • , Yuming Jiang
  • , Chunsheng Li
  • *此作品的通讯作者
  • Beihang University
  • CAS - National Space Science Center

科研成果: 会议稿件论文同行评审

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
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 202116 7月 2021

会议

会议2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
国家/地区比利时
Brussels
时期12/07/2116/07/21

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