Remote Sensing, 2016 This paper compares the calibration consistency of the spectrally-matched thermal emissive bands (TEB) between the Suomi National Polar-orbiting Partnership (S-NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) and the Aqua Moderate Resolution ...
Yonghong Li, Aisheng Wu, Xiaoxiong Xiong
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Midnight sector observations of auroral omega bands [PDF]
, 2011 We present observations of auroral omega bands on 28 September 2009. Although generally associated with the substorm recovery phase and typically observed in the morning sector, the features presented here occurred just after expansion phase onset and ...
Wild, J.A. +16 more
core +4 more sources
A possible generation mechanism for internal waves near the edge of a submesoscale eddy
Tellus: Series A, Dynamic Meteorology and Oceanography, 2021 Recently, it has been shown for the first time by observations that an anticyclonic mesoscale eddy can generate internal waves (wavelengths of 0.4 to 1 km) that carry energy away from the eddy.
I.P. Chunchuzov +2 more
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Multi-Sensor Fusion of SDGSAT-1 Thermal Infrared and Multispectral Images
Remote Sensing, 2022 Thermal infrared imagery plays an important role in a variety of fields, such as surface temperature inversion and urban heat island effect analysis, but the spatial resolution has severely restricted the potential for further applications.
Lintong Qi +4 more
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Assessment of ASTER Thermal Bands Capabilities in Enhancing Accuracy of Support Vector Machine and Maximum Likelihood Classification Algorithms in Arid Regions [PDF]
مدیریت بیابان, 2016 Data recorded in the thermal band satellites, are commonly used in the thermal characteristics of different phenomena, especially in desert areas. Classification is one of the most important steps in the use of satellite imagery.
Amir Hooshang Ehsani, Sahar Shahbazi
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Minimum area confidence set optimality for confidence bands in simple linear regression [PDF]
, 2007 The average width of a simultaneous confidence band has been used by several authors (e.g. Naiman, 1983, 1984, Piegorsch, 1985a) as a criterion for the comparison of different confidence bands.
Liu, W., Hayter, A.J.
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FUSION OF LANDSAT- 8 THERMAL INFRARED AND VISIBLE BANDS WITH MULTI-RESOLUTION ANALYSIS CONTOURLET METHODS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Land surface temperature image is an important product in many lithosphere and atmosphere applications. This image is retrieved from the thermal infrared bands. These bands have lower spatial resolution than the visible and near infrared data. Therefore,
F. Farhanj, M. Akhoondzadeh
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Thermal emission of WASP-48b in the Ks-band [PDF]
Astronomy & Astrophysics, 2018 We report a detection of thermal emission from the hot Jupiter WASP-48b in the Ks-band. We used the Wide-field Infra-red Camera on the 3.6-m Canada-France Hawaii Telescope to observe an occultation of the planet by its host star. From the resulting occultation lightcurve we find a planet-to-star contrast ratio in the Ks-band of 0.136 ± 0.014%, in ...
B. J. M. Clark +5 more
openaire +6 more sources
Calorimetric consequences of thermal softening in Johnson–Cook’s model [PDF]
, 2013 At high loading rates, the development of adiabatic shear bands in metals is conventionally attributed to the strong interactions induced by viscoplastic dissipation within the bands and thermal softening effects.
RANC, Nicolas, CHRYSOCHOOS, André
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FUSION OF NON-THERMAL AND THERMAL SATELLITE IMAGES BY BOOSTED SVM CLASSIFIERS FOR CLOUD DETECTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The goal of ensemble learning methods like Bagging and Boosting is to improve the classification results of some weak classifiers gradually. Usually, Boosting algorithms show better results than Bagging.
N. Ghasemian, M. Akhoondzadeh
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