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Sai-Nan Shi
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2020 – today
- 2023
- [j9]Sai-Nan Shi, Jijuan Gao, Ding Cao, Yutao Zhang:
Self-Learning Parameter Estimation of K-Distributed Clutter Using GRU Network. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j8]Yuejun Zhu, Tao Li, Dongliang Peng, Haoran Wang, Sai-Nan Shi:
A Novel SAR Automatic Target Recognition Method Based on Fully Complex-Valued Networks. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 6160-6171 (2023) - 2022
- [j7]Tao Li, Dongliang Peng, Sai-Nan Shi:
Outlier-Robust Superpixel-Level CFAR Detector With Truncated Clutter for Single Look Complex SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5261-5274 (2022) - [j6]Sai-Nan Shi, Peng-Lang Shui, Xiang Liang, Tao Li:
Small Target Detection Based on Noncoherent Radial Velocity Spectrum of High-Resolution Sea Clutter. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 8719-8733 (2022) - 2020
- [j5]Penglang Shui, Zixun Guo, Sai-Nan Shi:
Feature-Compression-Based Detection of Sea-Surface Small Targets. IEEE Access 8: 8371-8385 (2020)
2010 – 2019
- 2019
- [j4]Sai-Nan Shi, Xiang Liang, Peng-Lang Shui, Jian-Kang Zhang, Shuai Zhang:
Low-Velocity Small Target Detection With Doppler-Guided Retrospective Filter in High-Resolution Radar at Fast Scan Mode. IEEE Trans. Geosci. Remote. Sens. 57(11): 8937-8953 (2019) - [c1]Jie Wang, Xingdong Liang, Longyong Chen, Li-Na Wang, Sai-Nan Shi:
Joint Wireless Communication and High Resolution SAR Imaging Using Airborne Mimo Radar System. IGARSS 2019: 2511-2514 - 2018
- [j3]Sai-Nan Shi, Peng-Lang Shui:
Detection of low-velocity and floating small targets in sea clutter via income-reference particle filters. Signal Process. 148: 78-90 (2018) - [j2]Sai-Nan Shi, Peng-Lang Shui:
Sea-Surface Floating Small Target Detection by One-Class Classifier in Time-Frequency Feature Space. IEEE Trans. Geosci. Remote. Sens. 56(11): 6395-6411 (2018) - 2016
- [j1]Peng-Lang Shui, Sai-Nan Shi, Jin Lu, Xiao-Wei Jiang:
Detection of nonlinear FM signals via forward-backward cost-reference particle filter. Digit. Signal Process. 48: 104-115 (2016)
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