TSDCU-Net: A Deep Learning Model for Sea Ice Classification Based on SAR Images
Author:
Affiliation:
1. School of Information Science and Engineering, Dalian Polytechnic University,Dalian,China
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10366518/10366520/10367084.pdf?arnumber=10367084
Reference14 articles.
1. Measuring Deformed Sea Ice in Seasonal Ice Zones Using L-Band SAR Images
2. Marine Floating Raft Aquaculture Detection of GF-3 PolSAR Images Based on Collective Multikernel Fuzzy Clustering
3. Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks
4. Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data
5. Baltic Sea Ice Concentration Estimation From C-Band Dual-Polarized SAR Imagery by Image Segmentation and Convolutional Neural Networks
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