A Convolution Neural Network-based Method for Sea Ice Remote Sensing using GNSS-R Data
Author:
Affiliation:
1. Ministry of Information Industry Beijing Information Science and Technology University,Key Laboratory of Information and Communication Systems,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9850967/9850968/09851159.pdf?arnumber=9851159
Reference11 articles.
1. Sea Ice Sensing From GNSS-R Data Using Convolutional Neural Networks
2. Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
3. Sea ice detection from GNSS-R Delay-Doppler Map
4. Neural Networks Based Sea Ice Detection and Concentration Retrieval From GNSS-R Delay-Doppler Maps
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1. Ice Identification with Error-Accumulation Enhanced Neural Dynamics in Optical Remote Sensing Images;Remote Sensing;2023-11-29
2. A Sea Ice Type Recognition Method based on Convolutional Neural Network for GNSS-R Delay Doppler Images;2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE);2023-08-25
3. DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation;Remote Sensing of Environment;2023-08
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