IGSNRR OpenIR
Detection of noisy rectangular targets in high spatial resolution images
Wang, Zhihua1,2; Yang, Xiaomei1,3; Lu, Chen1,2; Yang, Fengshuo1,2; Qi, Wenjuan1,2
2018
Source PublicationREMOTE SENSING LETTERS
ISSN2150-704X
Volume9Issue:8Pages:715-723
Corresponding AuthorYang, Xiaomei(yangxm@lreis.ac.cn)
AbstractHuman-related targets in high-spatial-resolution images often present rectangular shapes, such as most buildings, farmland, etc. However, their edges often encounter bending or missing parts as well as redundancy, making them difficult to detect by current breaking-assembling strategies that initially detect line segments and then gather them into potential rectangles. We propose a rectangle-detection method that uses a whole-object detection strategy that detects rectangles as integrated units to avoid these problems. Comparison experiments with a state-of-the-art method on both synthesized and high-spatial-resolution images indicate that our method performs well in detecting rectangles both in accuracy and time-cost aspects, especially when the edges are noisy.
DOI10.1080/2150704X.2018.1468100
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2016YFC1402003] ; National Key Research and Development Program of China[2016YFB0501404] ; National Science Foundation of China[41671436] ; Innovation Project of LREIS[O88RAA01YA]
Funding OrganizationNational Key Research and Development Program of China ; National Science Foundation of China ; Innovation Project of LREIS
WOS Research AreaRemote Sensing ; Imaging Science & Photographic Technology
WOS SubjectRemote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000432910800001
PublisherTAYLOR & FRANCIS LTD
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54939
Collection中国科学院地理科学与资源研究所
Corresponding AuthorYang, Xiaomei
Affiliation1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
Recommended Citation
GB/T 7714
Wang, Zhihua,Yang, Xiaomei,Lu, Chen,et al. Detection of noisy rectangular targets in high spatial resolution images[J]. REMOTE SENSING LETTERS,2018,9(8):715-723.
APA Wang, Zhihua,Yang, Xiaomei,Lu, Chen,Yang, Fengshuo,&Qi, Wenjuan.(2018).Detection of noisy rectangular targets in high spatial resolution images.REMOTE SENSING LETTERS,9(8),715-723.
MLA Wang, Zhihua,et al."Detection of noisy rectangular targets in high spatial resolution images".REMOTE SENSING LETTERS 9.8(2018):715-723.
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