A Three-Layered Graph-Based Learning Approach for Remote Sensing Image Retrieval

IEEE Transactions on Geoscience and Remote Sensing

Volumn 54, Issue 10, 2016, Pages 6020-6034

  Wang, Yuebin ^a   Zhang, Liqiang ^a   Tong, Xiaohua ^b   Zhang, Liang ^a   Zhang, Zhenxin ^a   Liu, Hao ^a   Xing, Xiaoyue ^a   Mathiopoulos, P Takis ^c  

^a BEIJING NORMAL UNIVERSITY   (China)

^b TONGJI UNIVERSITY   (China)

^c UNIVERSITY OF ATHENS   (Greece)

Author keywords

Expansion query; graph based learning; image retrieval; query fusion; reranking

Indexed keywords

ANCHORS; GRAPHIC METHODS; IMAGE RECONSTRUCTION; LAND USE; QUERY PROCESSING; REMOTE SENSING;

GRAPH-BASED LEARNING; HIGH RESOLUTION REMOTE SENSING IMAGES; INDIVIDUAL FEATURES; REMOTE SENSING IMAGE RETRIEVAL; REMOTE SENSING IMAGES; RETRIEVAL ACCURACY; RETRIEVAL TECHNIQUES; THREE LAYER FRAMEWORKS;

IMAGE RETRIEVAL;

ACCURACY ASSESSMENT; AIRBORNE SENSOR; ALGORITHM; DATA SET; DATABASE; EXPERIMENTAL STUDY; GRAPHICAL METHOD; HOLISTIC APPROACH; IMAGE ANALYSIS; IMAGE RESOLUTION; LAND COVER; LAND USE CHANGE; PERFORMANCE ASSESSMENT; REMOTE SENSING; SUPERVISED LEARNING;

EID: 84976497733     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2016.2579648     Document Type: Article

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