[HTML][HTML] Artificial Intelligence and Numerical Weather Prediction Models: A Technical Survey
Can artificial intelligence (AI) models beat traditional numerical weather prediction (NWP)
models based on physical principles? The rapid advancement of AI, inherent computational …
models based on physical principles? The rapid advancement of AI, inherent computational …
A spectral-temporal constrained deep learning method for tree species map** of plantation forests using time series Sentinel-2 imagery
Plantation forests provide critical ecosystem services and have experienced worldwide
expansion during the past few decades. Accurate map** of tree species through remote …
expansion during the past few decades. Accurate map** of tree species through remote …
InSAR spatial-heterogeneity tropospheric delay correction in steep mountainous areas based on deep learning for landslides monitoring
Synthetic aperture radar interferometry (InSAR) technology has been widely used for
landslide monitoring in mountainous areas. The troposphere in steep mountainous areas is …
landslide monitoring in mountainous areas. The troposphere in steep mountainous areas is …
[HTML][HTML] Deep learning based distributed scatterers acceleration approach: Distributed scatterers prediction Net
Distributed scatter (DS) interferometric synthetic aperture radar is a powerful technology for
analyzing displacements of the earth's surface. Unfortunately, the preparatory step of DS pre …
analyzing displacements of the earth's surface. Unfortunately, the preparatory step of DS pre …
SAR-Transformer-based decomposition and geophysical interpretation of InSAR time-series deformations for the Hong Kong-Zhuhai-Macao Bridge
Time-series interferometric synthetic aperture radar (InSAR) provides a unique tool for
measuring large-scale and long-term land surface deformation. Under the assumption of a …
measuring large-scale and long-term land surface deformation. Under the assumption of a …
InSAR time-series deformation forecasting surrounding Salt Lake using deep transformer models
The free and open data policy of Sentinel-1 SAR images enables Radar interferometry
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
(InSAR) to perform time series surface deformation monitoring over large areas. InSAR …
Improving time-series InSAR deformation estimation for city clusters by deep learning-based atmospheric delay correction
Atmospheric delay (AD) is the main source of error in time-series interferometric synthetic
aperture radar (InSAR) deformation estimation over large areas. In this study, we propose a …
aperture radar (InSAR) deformation estimation over large areas. In this study, we propose a …
An artificial neural network-based data filling approach for smart operation of digital wastewater treatment plants
With the prevalence of digitization, smart operation has become mainstream in future
wastewater treatment plants. This requires substantial and complete historical data for …
wastewater treatment plants. This requires substantial and complete historical data for …
Time-series InSAR with deep-learning-based topography-dependent atmospheric delay correction for potential landslide detection
Synthetic aperture radar interferometry (InSAR) has emerged as an effective technique for
monitoring potentially unstable landslides and has found widespread application …
monitoring potentially unstable landslides and has found widespread application …
Laser absorption spectroscopy based on dual-convolutional neural network algorithms for multiple trace gases analysis
Y Ren, J Du, M Zhang, J Li - Sensors and Actuators B: Chemical, 2024 - Elsevier
Methane (CH 4) and nitrous oxide (N 2 O) as two typical greenhouse gases, have important
effects on global climate change. In this paper, an external cavity quantum cascade laser …
effects on global climate change. In this paper, an external cavity quantum cascade laser …