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SAR-Ship-Dataset
The dataset was annotated by SAR experts and consists of 102 GF‑3 (Gaofen‑3) satellite images and 108 Sentinel‑1 images, providing a total of 43,819 ship chips sized 256 × 256 pixels with varying scales and backgrounds. It can be used to develop object detectors for multi‑scale and small‑object detection.
Updated 4/29/2019
github
Description
SAR‑Ship‑Dataset Overview
Dataset Composition
- Source Images: 102 Gaofen‑3 images and 108 Sentinel‑1 images.
- Data Volume: 43,819 ship chips, each 256 pixels (range and azimuth).
- Characteristics: Ships exhibit diverse scales and backgrounds, suitable for developing multi‑scale and small‑object detection models.
Citation Information
- Paper Title: "A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds"
- Authors: Wang, Yuanyuan; Wang, Chao; Zhang, Hong; Dong, Yingbo; Wei, Sisi
- Year: 2019
- Journal: Remote Sensing
- Volume: 11
- Issue: 7
- Article Number: 765
- DOI: 10.3390/rs11070765
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Topics
Remote Sensing Image Analysis
Object Detection
Source
Organization: github
Created: 4/29/2019
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