Energy-Efficient and High-Performance Ship Classification Strategy Based on Siamese Spiking Neural Network in Dual-Polarized SAR Images
Author:
Affiliation:
1. School of Electronics and Communication Engineering, Shenzhen Campus of Sun Yat-Sen University, Shenzhen 518107, China
2. Institute of Remote Sensing Satellite, China Academy of Space Technology, Beijing 100094, China
Abstract
Funder
Guangdong Basic and Applied Basic Research Foundation
Shenzhen Science and Technology Program
Beijing Nova Program
National Natural Science Foundation of China
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
https://www.mdpi.com/2072-4292/15/20/4966/pdf
Reference48 articles.
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3. Local Road Area Extraction in CSAR Imagery Exploiting Improved Curvilinear Structure Detector;Luo;IEEE Trans. Geosci. Remote Sens.,2022
4. Chen, J., Xie, H., Zhang, L., Hu, J., Jiang, H., and Wang, G. (2023). SAR and Optical Image Registration Based on Deep Learning with Co-Attention Matching Module. Remote Sens., 15.
5. Zhu, J., Song, Y., Jiang, N., Xie, Z., Fan, C., and Huang, X. (2023). Enhanced Doppler Resolution and Sidelobe Suppression Performance for Golay Complementary Waveforms. Remote Sens., 15.
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1. A Lightweight Convolutional Spiking Neural Network for Fires Detection Based on Acoustics;Electronics;2024-07-26
2. Dual Branch Deep Network for Ship Classification of Dual-Polarized SAR Images;IEEE Transactions on Geoscience and Remote Sensing;2024
3. PFDN: A Polarimetric Feature-Guided Deep Network for Dual-Polarized SAR Ship Classification;IEEE Geoscience and Remote Sensing Letters;2024
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