Super-resolution mapping of forests with bitemporal different spatial resolution images based on the spatialoral markov random field

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

Volumn 7, Issue 1, 2014, Pages 29-39

  Li, Xiaodong ^a   Du, Yun ^a   Ling, Feng ^a  

^a Wuhan National Laboratory for Optoelectronics   (China)

Author keywords

Forest mapping; Markov random field; super resolution mapping; temporal dependence; transition probabilities

Indexed keywords

FOREST MAPPING; MARKOV RANDOM FIELDS; SUPER-RESOLUTION MAPPINGS; TEMPORAL DEPENDENCE; TRANSITION PROBABILITIES;

DEFORESTATION; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; MARKOV PROCESSES; REMOTE SENSING;

MAPPING;

ACCURACY ASSESSMENT; IMAGE RESOLUTION; LANDSAT THEMATIC MAPPER; MAPPING; MARKOV CHAIN; MODIS; PIXEL; REMOTE SENSING; SPATIAL RESOLUTION; TEMPORAL ANALYSIS;

DEFORESTATION; FORESTS; IMAGE ANALYSIS; MAPPING; PROBABILITY; RANDOM PROCESSES; REMOTE SENSING; RESOLUTION;

EID: 84891831978     PISSN: 19391404     EISSN: 21511535     Source Type: Journal    
DOI: 10.1109/JSTARS.2013.2264828     Document Type: Article

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