A fast object detector based on high-order gradients and Gaussian process regression for UAV images

International Journal of Remote Sensing

Volumn 36, Issue 10, 2015, Pages 2713-2733

  Moranduzzo, Thomas ^a   Melgani, Farid ^a   Bazi, Yakoub ^b   Alajlan, Naif ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b KING SAUD UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ANTENNAS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); OBJECT DETECTION;

DETECTION ACCURACY; DETECTION APPROACH; GAUSSIAN PROCESS; GAUSSIAN PROCESS REGRESSION; GEO-REFERENCED IMAGES; INFORMATION CONTENTS; NON-LINEAR FILTERS; OBJECT DETECTORS;

UNMANNED AERIAL VEHICLES (UAV);

ACCURACY ASSESSMENT; AERIAL SURVEY; DETECTION METHOD; GAUSSIAN METHOD; IMAGE ANALYSIS; IMAGE RESOLUTION; UNMANNED VEHICLE;

EID: 84929649335     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2015.1043760     Document Type: Article

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