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Utilizing Shape-Based Feature and Discriminative Learning for Building Detection
Zhang, Shangqi1; Shen, Haihong1; Huo, Chunlei2
Source PublicationIEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
2017-02-01
VolumeE100DIssue:2Pages:392-395
SubtypeArticle
AbstractBuilding detection from high resolution remote sensing images is challenging due to the high intraclass variability and the difficulty in describing buildings. To address the above difficulties, a novel approach is proposed based on the combination of shape-specific feature extraction and discriminative feature classification. Shape-specific feature can capture complex shapes and structures of buildings. Discriminative feature classification is effective in reflecting similarities among buildings and differences between buildings and backgrounds. Experiments demonstrate the effectiveness of the proposed approach.
KeywordBuilding Detection Shape-specific Feature Metric Learning Feature Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1587/transinf.2016EDL8138
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering
WOS IDWOS:000399370700020
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15084
Collection模式识别国家重点实验室_先进数据分析与学习
Affiliation1.China Univ Geosci Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Shangqi,Shen, Haihong,Huo, Chunlei. Utilizing Shape-Based Feature and Discriminative Learning for Building Detection[J]. IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,2017,E100D(2):392-395.
APA Zhang, Shangqi,Shen, Haihong,&Huo, Chunlei.(2017).Utilizing Shape-Based Feature and Discriminative Learning for Building Detection.IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS,E100D(2),392-395.
MLA Zhang, Shangqi,et al."Utilizing Shape-Based Feature and Discriminative Learning for Building Detection".IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E100D.2(2017):392-395.
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