Lightweight algorithm for multi-scale ship detection based on high-resolution SAR images
Author:
Affiliation:
1. College of Oceanography and Space Informatics, China University of Petroleum, Qingdao, China
2. Tianjin Institute of Advanced Technology, Tianjin, China
Funder
Research and Development
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2182652
Reference66 articles.
1. SAR Target Classification Using the Multikernel-Size Feature Fusion-Based Convolutional Neural Network
2. Robust CFAR Ship Detector Based on Bilateral-Trimmed-Statistics of Complex Ocean Scenes in SAR Imagery: A Closed-Form Solution
3. AIS Data Aided Rayleigh CFAR Ship Detection Algorithm of Multiple-Target Environment in SAR Images
4. A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images
5. Novel deep generative simultaneous recurrent model for efficient representation learning
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