Efficient, simultaneous detection of multi-class geospatial targets based on visual saliency modeling and discriminative learning of sparse coding

ISPRS Journal of Photogrammetry and Remote Sensing

Volumn 89, Issue , 2014, Pages 37-48

  Han, Junwei ^a   Zhou, Peicheng ^a   Zhang, Dingwen ^a   Cheng, Gong ^a   Guo, Lei ^a   Liu, Zhenbao ^a   Bu, Shuhui ^a   Wu, Jun ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

Author keywords

Discriminative sparse coding; Geospatial target detection; Visual saliency

Indexed keywords

IMAGE RECONSTRUCTION; OBJECT RECOGNITION; VISUALIZATION;

COMPREHENSIVE EVALUATION; EFFECTIVENESS AND EFFICIENCIES; FISHER DISCRIMINATION CRITERIONS; GEO-SPATIAL; MULTI-CLASS CLASSIFICATION; SPARSE CODING; STATE-OF-THE-ART APPROACH; VISUAL SALIENCY;

DETECTORS;

DATABASE; DISCRIMINANT ANALYSIS; IMAGE ANALYSIS; MAPPING METHOD; NUMERICAL MODEL; PREDICTION; RECONSTRUCTION; REMOTE SENSING; SATELLITE IMAGERY; SPATIAL ANALYSIS; VISUAL ANALYSIS;

EID: 84893418304     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2013.12.011     Document Type: Article

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