Deep clustering in subglacial radar reflectance reveals subglacial lakes
发布时间:2024-03-19
点击次数:
- DOI码:
- 10.5194/tc-18-1241-2024
- 所属单位:
- 中国科学技术大学地球和空间科学学院
- 发表刊物:
- The Cryosphere
- 刊物所在地:
- 德国
- 摘要:
- Ice-penetrating radar (IPR) imaging is a valuable tool for observing the internal structure and bottom of ice sheets. Subglacial water bodies, also known as subglacial lakes, generally appear as distinct, bright, flat, and continuous reflections in IPR images. In this study, we use available IPR images from the Gamburtsev Subglacial Mountains to extract one-dimensional reflector waveform features of the ice–bedrock interface. We apply a deep-learning method to reduce the dimension of the reflector features. An unsupervised clustering method is then used to separate different types of reflector
- 第一作者:
- Sheng Dong
- 合写作者:
- Lei Fu, Xueyuan Tang,李泽峰, Xiaofei Chen
- 论文类型:
- 期刊论文
- 通讯作者:
- Lei Fu, Xueyuan Tang
- 论文编号:
- 32
- 学科门类:
- 理学
- 一级学科:
- 地球物理学
- 文献类型:
- SCI
- 卷号:
- 18
- 期号:
- 3
- 页面范围:
- 1241-1257
- ISSN号:
- 1994-0424
- 是否译文:
- 否
- 发表时间:
- 2024-03-19


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