A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature

Remote Sensing of Environment

Volumn 169, Issue , 2015, Pages 243-254

  Moosavi, Vahid ^a   Talebi, Ali ^a   Mokhtari, Mohammad Hossein ^a   Shamsi, Seyed Rashid Fallah ^b   Niazi, Yaghoub ^a  

^a YAZD UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

Author keywords

Artificial intelligence; Data fusion; Land surface temperature; Thermal infrared data; Wavelet transform

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA FUSION; INFRARED RADIATION; PIXELS; RADIOMETERS; SURFACE MEASUREMENT; SURFACE PROPERTIES; WAVELET TRANSFORMS;

2-D WAVELET TRANSFORM; APPLICATION PROCEDURES; INTELLIGENCE MODELING; LAND SURFACE TEMPERATURE; NON-STATIONARY PROPERTIES; SPATIAL AND TEMPORAL RESOLUTIONS; THERMAL INFRARED DATA; THERMAL INFRARED IMAGES;

ATMOSPHERIC TEMPERATURE;

ACCURACY ASSESSMENT; ARTIFICIAL INTELLIGENCE; ENVIRONMENTAL MODELING; INFRARED IMAGERY; LAND SURFACE; LANDSAT; MODIS; SENSOR; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS; SPECTRAL ANALYSIS; SURFACE TEMPERATURE; TEMPERATURE PROFILE; WAVELET ANALYSIS;

EAST AZERBAIJAN; IRAN;

EID: 84940056836     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.08.015     Document Type: Article

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