Motion estimation on meteorological infrared data using a total brightness invariance hypothesis

Environmental Modelling and Software

Volumn 15, Issue 6-7 SPEC. ISS, 2000, Pages 513-519

  Béréziat, Dominique ^a   Berroir, Jean Paul ^a  

^a INRIA   (France)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING; INFRARED DETECTORS; INFRARED IMAGING; OPTICAL FLOWS; RADIOMETERS; WEATHER SATELLITES; WIND;

CLOUD MOTION WIND ESTIMATION; METEOROLOGICAL INFRARED IMAGERY;

MOTION ESTIMATION;

CLOUD; IMAGE ANALYSIS; INFRARED IMAGERY; METEOSAT; NUMERICAL METHOD;

EID: 0033622528     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-8152(00)00046-3     Document Type: Conference Paper

References (13)

1. Recursive non-linear estimation of discontinuous flow fields
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4. Determining optical flow
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6. Wind extraction from multiple meteosat channels
7. Wind extraction from meteosat water vapor channel image data
8. Displacement vectors derived from second-order intensity variations in image sequences
9. Robust multiresolution of parametric motion models
10. The motion constraint equation for optical flow
11. Multiple constraints to compute optical flow
12. Upper-tropospheric winds derived from geostationary satellite water vapor observations
13. Differential techniques for optical flow