Improving the spatial resolution of landsat TM/ETM+ through fusion with SPOT5 images via learning-based super-resolution

IEEE Transactions on Geoscience and Remote Sensing

Volumn 53, Issue 3, 2015, Pages 1195-1204

  Song, Huihui ^a   Huang, Bo ^b   Liu, Qingshan ^a   Zhang, Kaihua ^a  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Landsat Thematic Mapper (TM) or Enhanced Thematic Mapper Plus (ETM+) image; Spatial resolution; Super resolution; Swath width; Syst me Pour l'Observation de la Terre 5 (SPOT5) image

Indexed keywords

IMAGE CODING; IMAGE FUSION; IMAGE RESOLUTION; OPTICAL RESOLVING POWER;

ENHANCED THEMATIC MAPPER PLUS (ETM+); HIGH SPATIAL RESOLUTION; IMAGE DEGRADATION MODEL; LANDSAT THEMATIC MAPPER; LEARNING-BASED SUPER-RESOLUTION; SPATIAL RESOLUTION; SUPER RESOLUTION; SWATH WIDTH;

IMAGE ENHANCEMENT;

ALGORITHM; DATA QUALITY; IMAGE CLASSIFICATION; IMAGE RESOLUTION; LANDSAT; NUMERICAL MODEL;

EID: 84907457526     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2014.2335818     Document Type: Article

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