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Volumn 34, Issue 13, 2013, Pages 4850-4870

Automatic system for operational traffic monitoring using very-high-resolution satellite imagery

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE EXTRACTION; IMAGE SEGMENTATION; MONITORING; NEAREST NEIGHBOR SEARCH;

EID: 84876429353     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2013.782708     Document Type: Article
Times cited : (17)

References (21)
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  • 2
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    • Bruzzone, L.1    Prieto, D.F.2
  • 7
    • 67649668662 scopus 로고    scopus 로고
    • Use of Markov Random Fields for Automatic Cloud/Shadow Detection on High Resolution Optical Images
    • Hégarat-Mascle, S. and André, C. 2009. Use of Markov Random Fields for Automatic Cloud/Shadow Detection on High Resolution Optical Images. ISPRS Journal of Photogrammetry and Remote Sensing, 64: 351-366.
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    • Detection of Vehicles and Vehicle Queues for Road Monitoring Using High Resolution Aerial Images
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    • Hinz, S.1
  • 9
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    • Hinz, S.1    Stilla, U.2
  • 10
    • 34250213638 scopus 로고    scopus 로고
    • Vehicle Detection from High-Resolution Satellite Imagery Using Morphological Shared-Weight Neural Networks
    • Jin, X. and Davis, C. H. 2007. Vehicle Detection from High-Resolution Satellite Imagery Using Morphological Shared-Weight Neural Networks. Image and Vision Computing, 25: 1422-1431.
    • (2007) Image and Vision Computing , vol.25 , pp. 1422-1431
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  • 15
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    • Estimating the Velocity and Direction of Moving Targets Using a Single Optical VHR Satellite Sensor Image
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    • Land Cover Classification of Cloud-Contaminated Multi-Temporal High-Resolution Satellite Images
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    • An Artificial Immune Approach for Vehicle Detection from High Resolution Space Imagery
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.