Multi-Scale and Temporal Transfer Learning for Automatic Tracking of Internal Ice Layers
Author:
Affiliation:
1. Computer Vision and Remote Sensing Laboratory, University of Maryland,Baltimore County,USA
2. Center for Remote Sensing of Ice Sheets, University of Kansas,Kansas,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9323073/9323063/09323758.pdf?arnumber=9323758
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Prediction of Deep Ice Layer Thickness Using Adaptive Recurrent Graph Neural Networks;2023 IEEE International Conference on Image Processing (ICIP);2023-10-08
2. Prediction of Annual Snow Accumulation Using a Recurrent Graph Convolutional Approach;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
3. TSSA: Two-Step Semi-Supervised Annotation for Radargrams on the Greenland Ice Sheet;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
4. Recurrent Graph Convolutional Networks for Spatiotemporal Prediction of Snow Accumulation Using Airborne Radar;2023 IEEE Radar Conference (RadarConf23);2023-05-01
5. Airborne Snow Radar Data Simulation With Deep Learning and Physics-Driven Methods;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2021
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