From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images
文献类型：期刊论文
| 作者 | Wu, Jingqian1; Xu, Shibiao2
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021-07-01 |
| 卷号 | 13期号:13页码:16 |
| 关键词 | small object detection key-point prediction image enhancement low resolution |
| DOI | 10.3390/rs13132620 |
| 通讯作者 | Xu, Shibiao(shibiao.xu@nlpr.ia.ac.cn) |
| 英文摘要 | Accurate object detection is important in computer vision. However, detecting small objects in low-resolution images remains a challenging and elusive problem, primarily because these objects are constructed of less visual information and cannot be easily distinguished from similar background regions. To resolve this problem, we propose a Hierarchical Small Object Detection Network in low-resolution remote sensing images, named HSOD-Net. We develop a point-to-region detection paradigm by first performing a key-point prediction to obtain position hypotheses, then only later super-resolving the image and detecting the objects around those candidate positions. By postponing the object prediction to after increasing its resolution, the obtained key-points are more stable than their traditional counterparts based on early object detection with less visual information. This hierarchical approach, HSOD-Net, saves significant run-time, which makes it more suitable for practical applications such as search and rescue, and drone navigation. In comparison with the state-of-art models, HSOD-Net achieves remarkable precision in detecting small objects in low-resolution remote sensing images. |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000670955800001 |
| 出版者 | MDPI |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45277]  |
| 专题 | 模式识别国家重点实验室_三维可视计算 |
| 通讯作者 | Xu, Shibiao |
| 作者单位 | 1.Wake Forest Univ, Dept Comp Sci, Winston Salem, NC 27019 USA 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wu, Jingqian,Xu, Shibiao. From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images[J]. REMOTE SENSING,2021,13(13):16. |
| APA | Wu, Jingqian,&Xu, Shibiao.(2021).From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images.REMOTE SENSING,13(13),16. |
| MLA | Wu, Jingqian,et al."From Point to Region: Accurate and Efficient Hierarchical Small Object Detection in Low-Resolution Remote Sensing Images".REMOTE SENSING 13.13(2021):16. |
入库方式： OAI收割
来源：自动化研究所
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