| SAR图像建筑物目标检测研究综述 |
| |
| 引用本文： | 石颉,袁晨翔,丁飞,孔维相. SAR图像建筑物目标检测研究综述[J]. 计算机工程与应用, 2022, 58(8): 58-66. DOI: 10.3778/j.issn.1002-8331.2111-0197 |
| |
| 作者姓名： | 石颉 袁晨翔 丁飞 孔维相 |
| |
| 作者单位： | 苏州科技大学 电子与信息工程学院，江苏 苏州 215009 |
| |
| 摘 要： | 面对日益剧增的城市建筑物,合成孔径雷达(synthetic aperture radar,SAR)图像的建筑物检测作为SAR图像解译的一个分支逐渐成为一项重要的研究课题.对现有的研究方法进行了分类,从基于传统方法的建筑物检测和基于深度学习的建筑物检测两方面入手,对现有SAR图像的建筑物目标检测算法进行了梳理.简述了SA...
|
| 关 键 词： | 合成孔径雷达(SAR) 统计模型 建筑物 深度学习 目标检测 |
Survey of Building Target Detection in SAR Images |
| |
| SHI Jie,YUAN Chenxiang,DING Fei,KONG Weixiang. Survey of Building Target Detection in SAR Images[J]. Computer Engineering and Applications, 2022, 58(8): 58-66. DOI: 10.3778/j.issn.1002-8331.2111-0197 |
| |
| Authors: | SHI Jie YUAN Chenxiang DING Fei KONG Weixiang |
| |
| Affiliation: | School of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China |
| |
| Abstract: | With the increasing city buildings, building detection based on synthetic aperture radar（SAR） images, as a branch of SAR image interpretation, has gradually become an important research topic. In this paper, the existing research methods are classified, and the existing building target detection algorithms of SAR images are sorted out from the perspective of building detection based on traditional methods and on deep learning. In addition, the characteristics of SAR images and the whole process of building detection task with SAR images are described. The methods based on modeling, texture features and machine learning, and the target detection method based on deep learning are introduced. Moreover, emphasis is placed on expounding the current mainstream detection methods based on candidate regions and regression. The advantages and limitations of various methods are compared and analyzed, main problems and development bottlenecks of the current building detection technology based on SAR images are summarized, and corresponding suggestions are put forward. Finally, the future research interests in this field are explored. |
| |
| Keywords: | synthetic aperture radar（SAR） statistical model building deep learning target detection |
| 本文献已被 万方数据 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载免费的PDF全文 |
|
