Results 11 to 20 of about 11,549 (247)
BDIS: Balanced Training Architecture for Dual Image Scaler Using Origin Referenceable Losses
IEEE Access, 2022 Deep neural network (DNN)-based research on image scaling has mostly focused on super-resolution (SR) rather than image downscaling. Specifically, most existing DNN-based methods for image downscaling are used as auxiliary modules to improve the quality ...
Eun Su Kang +4 more
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Output Domain Downscaler [PDF]
, 2016 This paper offers an area-efficient video downscaler hardware architecture, which we call Output Domain Downscaler (ODD). ODD is demonstrated through an implementation of the bilinear interpolation method combined with Edge Detection and Sharpening Spatial Filter.
Büyükmıhçı, M. +8 more
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Remote Sensing, 2022 Sea surface wind (SSW) is a crucial parameter for meteorological and oceanographic research, and accurate observation of SSW is valuable for a wide range of applications.
Jia Liu +5 more
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Applied Sciences, 2023 This paper compared the predictive performance of different regression models for trend component estimation in the spatial downscaling of coarse resolution satellite data using area-to-point regression kriging in the context of the sensitivity to input ...
Geun-Ho Kwak +2 more
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Advances in Meteorology, 2017 Various downscaling approaches have been developed to overcome the limitation of the coarse spatial resolution of general circulation models (GCMs). Such techniques can be grouped into two approaches of dynamical and statistical downscaling.
Yoo-Bin Yhang, Soo-Jin Sohn, Il-Won Jung
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GEOSTATISTICAL SOLUTIONS FOR DOWNSCALING REMOTELY SENSED LAND SURFACE TEMPERATURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Remotely sensed land surface temperature (LST) downscaling is an important issue in remote sensing. Geostatistical methods have shown their applicability in downscaling multi/hyperspectral images.
Q. Wang +4 more
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Evaluation of downscaling seasonal climate forecasts for crop yield forecasting in Zimbabwe
Climate Services, 2023 Meteorology and weather forecasting are crucial for water-limited agriculture. We evaluate the added value of downscaling seven-months global deterministic seasonal forecasts from the Climate Forecast System version 2 (CFSv2) using the Weather, Research ...
S. Chinyoka, G.J. Steeneveld
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Remote Sensing, 2023 Spatial downscaling is an important approach to obtain high-resolution land surface temperature (LST) for thermal environment research. However, existing downscaling methods are unable to sufficiently address both spatial heterogeneity and complex ...
Minggao Liang +8 more
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Application of Gaofen-6 Images in the Downscaling of Land Surface Temperatures
Remote Sensing, 2022 The coarse resolution of land surface temperatures (LSTs) retrieved from thermal-infrared (TIR) satellite images restricts their usage. One way to improve the resolution of such LSTs is downscaling using high-resolution remote sensing images.
Xiaoyuan Li, Xiufeng He, Xin Pan
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Evaluating downscaling methods of GRACE (Gravity Recovery and Climate Experiment) data: a case study over a fractured crystalline aquifer in southern India [PDF]
Hydrology and Earth System Sciences, 2022 GRACE (Gravity Recovery and Climate Experiment) and its follow-on mission have provided since 2002 monthly anomalies of total water storage (TWS), which are very relevant to assess the evolution of groundwater storage (GWS) at global and regional scales.
C. Pascal +5 more
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