Vehicle detection in high-resolution aerial images via sparse representation and superpixels

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 1, 2016, Pages 103-116

  Chen, Ziyi ^a   Wang, Cheng ^a   Wen, Chenglu ^a   Teng, Xiuhua ^b   Chen, Yiping ^a,c   Guan, Haiyan ^d   Luo, Huan ^a   Cao, Liujuan ^a   Li, Jonathan ^a,e  

^a XIAMEN UNIVERSITY   (China)

^b FUJIAN UNIVERSITY OF TECHNOLOGY   (China)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^d NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^e UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Aerial image; high resolution; sparse representation; superpixel; vehicle detection

Indexed keywords

AMPHIBIOUS VEHICLES; FEATURE EXTRACTION; ITERATIVE METHODS; OBJECT DETECTION; PIXELS; VEHICLES;

COMPREHENSIVE ANALYSIS; DIRECTION ESTIMATION; DISCRIMINATION ABILITY; HIGH-RESOLUTION AERIAL IMAGES; HISTOGRAM OF ORIENTED GRADIENTS; SPARSE REPRESENTATION; SUPERPIXEL SEGMENTATIONS; TRAINING SAMPLE SELECTION;

IMAGE SEGMENTATION;

AERIAL PHOTOGRAPH; ALGORITHM; COMPARATIVE STUDY; DATA SET; HISTOGRAM; IMAGE ANALYSIS; IMAGE RESOLUTION; PIXEL; SEGMENTATION;

EID: 84947028673     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2015.2451002     Document Type: Article

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