中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 自动化研究所
  3. 中国科学院自动化研究所
  4. 多模态人工智能系统全国重点实验室
  5. 遥感图像处理团队
NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery

文献类型：期刊论文

作者Ni, Lei3,4; Huo, Chunlei2; Zhang, Xin2; Wang, Peng4; Zhang, Luyang1; Guo, Kangkang4; Zhou, Zhixin4
刊名REMOTE SENSING
出版日期2022-02-01
卷号14期号:4页码:20
关键词multi-view remote sensing imagery object detection generative adversarial network off-nadir SpaceNet
DOI10.3390/rs14040975
通讯作者Zhou, Zhixin(zxzhou@cashq.ac.cn)
英文摘要Detecting off-nadir objects is a well-known challenge in remote sensing due to the distortion and mutable representation. Existing methods mainly focus on a narrow range of view angles, and they ignore broad-view pantoscopic remote sensing imagery. To address the off-nadir object detection problem in remote sensing, a new nadir-like generative adversarial network (NaGAN) is proposed in this paper by narrowing the representation differences between the off-nadir and nadir object. NaGAN consists of a generator and a discriminator, in which the generator learns to transform the off-nadir object to a nadir-like one so that they are difficult to discriminate by the discriminator, and the discriminator competes with the generator to learn more nadir-like features. With the progressive competition between the generator and discriminator, the performances of off-nadir object detection are improved significantly. Extensive evaluations on the challenging SpaceNet benchmark for remote sensing demonstrate the superiority of NaGAN to the well-established state-of-the-art in detecting off-nadir objects.
资助项目National Natural Science Foundation of China[62071466] ; Guangxi Natural Science Foundation[2018GXNSFBA281086]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000765158400001
出版者MDPI
资助机构National Natural Science Foundation of China ; Guangxi Natural Science Foundation
源URL[http://ir.ia.ac.cn/handle/173211/48029]  
专题自动化研究所_模式识别国家重点实验室_遥感图像处理团队
通讯作者Zhou, Zhixin
作者单位1.Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing 210016, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
3.Beijing Inst Remote Sensing, Beijing 100192, Peoples R China
4.Space Engn Univ, Beijing 101416, Peoples R China
推荐引用方式
GB/T 7714		 Ni, Lei,Huo, Chunlei,Zhang, Xin,et al. NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery[J]. REMOTE SENSING,2022,14(4):20.
APA Ni, Lei.,Huo, Chunlei.,Zhang, Xin.,Wang, Peng.,Zhang, Luyang.,...&Zhou, Zhixin.(2022).NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery.REMOTE SENSING,14(4),20.
MLA Ni, Lei,et al."NaGAN: Nadir-like Generative Adversarial Network for Off-Nadir Object Detection of Multi-View Remote Sensing Imagery".REMOTE SENSING 14.4(2022):20.

入库方式： OAI收割

来源：自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。