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Three-dimensional ionospheric tomography based on compressed sensing
The insufficient number of low-elevation observations is a limitation of the three-dimensional ionospheric computer tomography (CT) based on the...
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Novel Energy-Efficient Opportunistic Routing Protocol for Marine Wireless Sensor Networks Based on Compressed Sensing and Power Control
In marine wireless sensor networks (MWSNs), an appropriate routing protocol is the key to the collaborative collection and efficient transmission of...
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Sparse representation of tropospheric grid data using compressed sensing
With the widespread application of global navigation satellite system, increasing amounts of gridded tropospheric data have been generated,...
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An improved Gaussian frequency domain sparse inversion method based on compressed sensing
The traditional compressed sensing method for improving resolution is realized in the frequency domain. This method is affected by noise, which...
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A Novel Depth-Wise Separable Convolutional Model for Remote Sensing Scene Classification
With the advancement in satellite and Artificial Intelligence (AI), the increase in observation of the earth is increasing dramatically. With this...
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A Grad-CAM and capsule network hybrid method for remote sensing image scene classification
Remote sensing image scene classification and remote sensing technology applications are hot research topics. Although CNN-based models have reached...
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Improvement of deep learning Method for water body segmentation of remote sensing images based on attention modules
Traditional remote sensing water identification methods lack texture and shape information extraction, and the previous algorithms lack the...
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A Novel Pyramidal CNN Deep Structure for Multiple Objects Detection in Remote Sensing Images
This article suggests a novel convolutional neural network (CNN) layering structure based on the pyramidal-shaped CNN model in the state of the art...
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Monitoring Maritime Ship Characteristics Using Satellite Remote Sensing Data from Different Sensors
Ship monitoring is important for understanding human maritime activities. Automatic identification systems are widely adopted for ship monitoring. It...
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Spatial Interpolation of Gauge Measured Rainfall Using Compressed Sensing
In this work, we suggest new spatial precipitation interpolation schemes using compressed sensing (CS), which is a new framework for signal...
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A Machine Learning-Based Semantic Pattern Matching Model for Remote Sensing Data Registration
Remote sensing image registration can benefit from a machine learning method based on the likelihood of predicting semantic spatial position...
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Distributed Acoustic Sensing: A New Tool or a New Paradigm
AbstractDistributed acoustic sensing (DAS) is a technology that uses a fiber optic cable as a linear array of virtual seismic sensors. The article...
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Monitoring land subsidence with the combination of persistent scatterer interferometry techniques and distributed fiber optic sensing techniques: a case study in Suzhou, China
Land subsidence is a global geo-hazard caused by various natural and human factors, and it directly threatens the safety of the environment and...
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A Machine Learning-Based Semantic Pattern Matching Model for Remote Sensing Data Registration
Remote sensing image registration can benefit from a machine learning method based on the likelihood of predicting semantic spatial position...
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Real-time sharing algorithm of earthquake early warning data of hydropower station based on deep learning
Different geographical locations have different time series and types of earthquake early warning data of hydropower stations, and the packet loss...
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Design and implementation of an Automatic Deep Stacked Sparsely Connected Convolutional Autoencoder (ADSSCCA) neural network for remote sensing lithological map** using calculated dropout
The accurate map** of lithological units in tropical environments characterised by dense forest, persistent cloud cover, and limited bedrock...
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Characterizing the deep pum**-induced subsidence against metro tunnel using vertically distributed fiber-optic sensing
Continuous pum** of groundwater will induce uneven ground settlement, which may adversely affect the nearby metro tunnels. In this paper, taking...
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Remote Sensing and Geographic Information System Applications in Hydrocarbon Exploration: A Review
Hydrocarbon exploration requires integration and updating of multi-source geo-scientific data for gathering knowledge of subsurface oil and gas...
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Intelligent Image Semantic Segmentation: A Review Through Deep Learning Techniques for Remote Sensing Image Analysis
Image semantic segmentation is an important part of fundamental in image interpretation and computer vision. With the development of convolutional...
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Deep Learning for Long-Term Landslide Change Detection from Optical Remote Sensing Data
Landslides are widespread in China, but are only mapped in detail in limited scales and within a short period of time. In this study, long-term...