Oriented Gaussian Function-Based Box Boundary-Aware Vectors for Oriented Ship Detection in Multiresolution SAR Imagery

Author:

Zhang JinsongORCID,Xing MengdaoORCID,Sun Guang-CaiORCID,Li NingORCID

Funder

National Key Research and Development Program of China

Joint Funds of the National Natural Science Foundation of China

National Science Fund for Distinguished Young Scholars

Seed Funding Project of Multisensor Intelligent Detection and Recognition Technologies Research and Development Center of CASC

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 22 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. AiTARs-Net: A novel network for detecting arbitrary-oriented transverse aeolian ridges from Tianwen-1 HiRIC images;ISPRS Journal of Photogrammetry and Remote Sensing;2024-05

2. Enhancement of Small Ship Detection Using Polarimetric Combination from Sentinel−1 Imagery;Remote Sensing;2024-03-29

3. Entropy-Based re-sampling method on SAR class imbalance target detection;ISPRS Journal of Photogrammetry and Remote Sensing;2024-03

4. NPA2Net: A Nested Path Aggregation Attention Network for Oriented SAR Ship Detection;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

5. BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap;IEEE Transactions on Geoscience and Remote Sensing;2024

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