Object detection in remote sensing imagery using a discriminatively trained mixture model

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 85, Issue , 2013, Pages 32-43

  Cheng, Gong ^a   Han, Junwei ^a   Guo, Lei ^a   Qian, Xiaoliang ^a   Zhou, Peicheng ^a   Yao, Xiwen ^a   Hu, Xintao ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Mixture model; Object detection; Part based model; Remote sensing imagery

Indexed keywords

DEFORMATION; MIXTURES; REMOTE SENSING; SUPPORT VECTOR MACHINES;

DEFORMABLE PART-BASED MODELS; HISTOGRAM OF ORIENTED GRADIENTS (HOG); LATENT SUPPORT VECTOR MACHINES; MIXTURE MODEL; OBJECT DETECTION; PART-BASED MODELS; REMOTE SENSING IMAGERY; STATE-OF-THE-ART APPROACH;

OBJECT RECOGNITION;

DATA SET; DETECTION METHOD; IMAGE ANALYSIS; IMAGERY; NUMERICAL MODEL;

EID: 84883640158     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.08.001     Document Type: Article

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