A novel system for content-based retrieval of single and multi-label high-dimensional remote sensing images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Volumn 11, Issue 7, 2018, Pages 2473-2490

  Dai, Osman Emre ^a   Demir, Begum ^c   Sankur, Bulent ^b   Bruzzone, Lorenzo ^d  

^a University of Illinois at Urbana Champaign   (United States)

^b BOGAZICI UNIVERSITY   (Turkey)

^c TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^d UNIVERSITY OF TRENTO   (Italy)

Author keywords

Multi Label image retrieval; remote sensing (RS); sparse reconstruction based retrieval (SRR); spatial description; spectral description

Indexed keywords

CONTENT BASED RETRIEVAL; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; REMOTE SENSING;

MULTI-LABEL; REMOTE SENSING IMAGES; RETRIEVAL PERFORMANCE; SCALE INVARIANT FEATURE TRANSFORMS; SPARSE RECONSTRUCTION; SPATIAL DESCRIPTIONS; SPECTRAL DESCRIPTION; SPECTRAL INFORMATION;

SEARCH ENGINES;

IMAGE ANALYSIS; IMAGING METHOD; NUMERICAL MODEL; PIXEL; REMOTE SENSING; SPATIAL ANALYSIS; SPECTRAL ANALYSIS;

EID: 85048876227     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2018.2832985     Document Type: Article

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