Polsar Ship Detection with the Sub-Aperture Technology
Author:
Affiliation:
1. Shanghai Jiao Tong University,Shanghai Key Laboratory of Intelligent Sensing and Recognition,Shanghai,China,200240
2. Center for Digital Innovation, Tongji University,Shanghai,China,200092
Funder
National Natural Science Foundation of China
ESA-MOST Dragon 5 programm
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09884927.pdf?arnumber=9884927
Reference14 articles.
1. Ship Detection Based on Coherence Images Derived From Cross Correlation of Multilook SAR Images
2. Ship Detection with Spectral Analysis of Synthetic Aperture Radar: A Comparison of New and Well-Known Algorithms
3. Polarimetric–Anisotropic Decomposition and Anisotropic Entropies of High-Resolution SAR Images
4. Urban Area Man-Made Target Detection for PolSAR Data Based on a Nonzero-Mean Statistical Model
5. Scheme of Parameter Estimation for Generalized Gamma Distribution and Its Application to Ship Detection in SAR Images
Cited by 1 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. CNN-Improved Superpixel-to-Pixel Fuzzy Graph Convolution Network for PolSAR Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2023
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