AIMC Topic: Radar

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Doppler-Spectrum Feature-Based Human-Vehicle Classification Scheme Using Machine Learning for an FMCW Radar Sensor.

Sensors (Basel, Switzerland) Apr 2, 2020
In this paper, we propose a Doppler-spectrum feature-based human-vehicle classification scheme for an FMCW (frequency-modulated continuous wave) radar sensor. We introduce three novel features referred to as the scattering point count, scattering poi...
Machine Learning Algorithms Support Vector Machine Humans Automobile Driving Ultrasonography, Doppler Radar Signal Processing, Computer-Assisted Pedestrians
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Robust SAR Automatic Target Recognition Based on Transferred MS-CNN with L-Regularization.

Computational intelligence and neuroscience Nov 15, 2019
Though Synthetic Aperture Radar (SAR) Automatic Target Recognition (ATR) via Convolutional Neural Networks (CNNs) has made huge progress toward deep learning, some key issues still remain unsolved due to the lack of sufficient samples and robust mode...
Radar Warfare Motor Vehicles Image Processing, Computer-Assisted Pattern Recognition, Automated Neural Networks, Computer Machine Learning Humans
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Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters.

Environmental monitoring and assessment Jun 28, 2019
Approximately 50 million Americans have allergic diseases. Airborne plant pollen is a significant trigger for several of these allergic diseases. Ambrosia (ragweed) is known for its abundant production of pollen and its potent allergic effect in Nort...
Machine Learning Forecasting Plant Extracts Humans Antigens, Plant Hypersensitivity Radar Environmental Monitoring Weather
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Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data.

Environmental monitoring and assessment Jun 7, 2019
Millions of people have an allergic reaction to pollen. The impact of pollen allergies is on the rise due to increased pollen levels caused by global warming and the spread of highly invasive weeds. The production, release, and dispersal of pollen de...
Allergens Oklahoma Plant Extracts Radar Machine Learning Antigens, Plant Environmental Monitoring Pollen Forecasting Weather Atmosphere
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A Fuzzy Comprehensive CS-SVR Model-based health status evaluation of radar.

PloS one Mar 18, 2019
The purpose of Fuzzy Comprehensive CS-SVR Model (FCCS-SVR) is to evaluate and monitor the health status of a radar equipment and then keep its safe operation. Due to reasons such as few samples, slow changes and the nonlinear structure of data of fau...
Radar Humans Algorithms Health Status Fuzzy Logic Computer Simulation
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Using a stacked-autoencoder neural network model to estimate sea state bias for a radar altimeter.

PloS one Dec 17, 2018
This paper constructed a stacked-autoencoder neural network model (SAE model) to estimate sea state bias (SSB) based on radar altimeter data. Six cycles of the geophysical data record (GDR) from Jason-1/2 radar altimeters were used as a training data...
Radar Oceans and Seas Neural Networks, Computer Environmental Monitoring Models, Statistical
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Identification of Migratory Insects from their Physical Features using a Decision-Tree Support Vector Machine and its Application to Radar Entomology.

Scientific reports Apr 3, 2018
Migration is a key process in the population dynamics of numerous insect species, including many that are pests or vectors of disease. Identification of insect migrants is critically important to studies of insect migration. Radar is an effective mea...
Radar Animal Migration Decision Trees Entomology Insecta Animals Support Vector Machine
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Physical evolution of the Three Gorges Reservoir using advanced SVM on Landsat images and SRTM DEM data.

Environmental science and pollution research international Mar 15, 2018
The Three Gorges Reservoir (TGR) is one of the largest hydropower reservoirs in the world. However, changes of the important physical characteristics of the reservoir covering pre-, during-, and post- dam have not been well studied. This study analyz...
Support Vector Machine Remote Sensing Technology Water Supply Radar Forests Lakes Farms China
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Automatic Target Recognition Strategy for Synthetic Aperture Radar Images Based on Combined Discrimination Trees.

Computational intelligence and neuroscience Nov 29, 2017
A strategy is introduced for achieving high accuracy in synthetic aperture radar (SAR) automatic target recognition (ATR) tasks. Initially, a novel pose rectification process and an image normalization process are sequentially introduced to produce i...
Image Interpretation, Computer-Assisted Algorithms Humans Pattern Recognition, Automated Data Interpretation, Statistical Radar Artificial Intelligence Discriminant Analysis
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Stacked Autoencoders for Outlier Detection in Over-the-Horizon Radar Signals.

Computational intelligence and neuroscience Oct 23, 2017
Detection of outliers in radar signals is a considerable challenge in maritime surveillance applications. High-Frequency Surface-Wave (HFSW) radars have attracted significant interest as potential tools for long-range target identification and outlie...
Cluster Analysis Signal Processing, Computer-Assisted Nonlinear Dynamics Algorithms Humans Wind Machine Learning Signal-To-Noise Ratio Radar
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