Region-of-Interest Detection via Superpixel-to-Pixel Saliency Analysis for Remote Sensing Image

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 12, 2016, Pages 1752-1756

  Ma, Long ^a   Du, Bin ^a   Chen, He ^a   Soomro, Nouman Q ^b  

^a BEIJING INSTITUTE OF TECHNOLOGY   (China)

^b MEHRAN UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

Author keywords

Background contrast; region of interest (ROI) detection; structure tensor; superpixel segmentation

Indexed keywords

COMPUTATIONAL EFFICIENCY; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; ITERATIVE METHODS; REMOTE SENSING;

DETECTION METHODS; HIGH RESOLUTION IMAGE; ITERATIVE CLUSTERING; REGION OF INTEREST; REMOTE SENSING IMAGES; SALIENCY ANALYSIS; STATE-OF-THE-ART TECHNIQUES; STRUCTURE TENSORS;

PIXELS;

EID: 84992153966     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2602885     Document Type: Article

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