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Noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
generalised Gaussian probability density function heavy-tailed distributions hyperspectral imagery linear regression noise modelling Visible InfraRed Scanner (VIRS-200)
2015/9/7
The definition of noise models suitable for hyperspectral data is slightly different depending on whether whiskbroom or push-broom are dealt with. Focussing on the latter type (e.g., VIRS-200) the noi...
A new methodology for in-flight radiometric calibration of the MIVIS imaging sensor
hyperspectral airborne scanner MIVIS radiometric calibration data quality
2015/9/7
Sensor radiometric calibration is of great importance in computing physical values of radiance of the investigated targets, but often airborne scanners are not equipped with any in-flight radiometric ...
Study on the limitations of travel-time inversion applied to sub-basalt imaging
travel-time inversion sub-basalt imaging
2015/1/5
The difficulties of seismic imaging beneath high velocity structures are widely recognised. In this setting, theoretical analysis of synthetic wide-angle seismic reflection data indicate...
Seismic imaging of the Cocos plate subduction zone system in central Mexico
Mexico inversion mantle wedge oceanic crust subduction zone volcanic arc
2014/4/10
Broadband data from the Meso-America Subduction Experiment (MASE) line in central Mexico were used to image the subducted Cocos plate and the overriding continental lithosphere beneath central Mexico ...