AIMC Topic: Radar

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Split BiRNN for real-time activity recognition using radar and deep learning.

Scientific reports May 6, 2022
Radar systems can be used to perform human activity recognition in a privacy preserving manner. This can be achieved by using Deep Neural Networks, which are able to effectively process the complex radar data. Often these networks are large and do no...
Humans Neural Networks, Computer Human Activities Radar Accidental Falls Deep Learning
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Pedestrian and Animal Recognition Using Doppler Radar Signature and Deep Learning.

Sensors (Basel, Switzerland) May 1, 2022
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians. When distinct portions of an object move in front of a radar,...
Radar Deep Learning Ultrasonography, Doppler Neural Networks, Computer Pedestrians Humans Animals
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A novel deep learning method for marine oil spill detection from satellite synthetic aperture radar imagery.

Marine pollution bulletin Apr 29, 2022
Oil spill discharges from operational maritime activities like ships, oil rigs and other structures, leaking pipelines, as well as natural hydrocarbon seepage pose serious threats to marine ecosystems and fisheries. Satellite synthetic aperture radar...
Petroleum Pollution Petroleum Environmental Monitoring Radar Water Pollutants, Chemical Ecosystem Deep Learning
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Research on the Coordinate Attention Mechanism Fuse in a YOLOv5 Deep Learning Detector for the SAR Ship Detection Task.

Sensors (Basel, Switzerland) Apr 28, 2022
The real-time performance of ship detection is an important index in the marine remote sensing detection task. Due to the computing resources on the satellite being limited by the solar array size and the radiation-resistant electronic components, in...
Radar Algorithms Deep Learning Ships
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Generation of Human Micro-Doppler Signature Based on Layer-Reduced Deep Convolutional Generative Adversarial Network.

Computational intelligence and neuroscience Apr 12, 2022
Human activity recognition (HAR) using radar micro-Doppler has attracted the attention of researchers in the last decade. Using radar for human activity recognition has been very practical because of its unique advantages. There are several classifie...
Radar Neural Networks, Computer Humans Computer Simulation
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A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm.

The Science of the total environment Apr 7, 2022
A high-resolution soil moisture prediction method has recently gained its importance in various fields such as forestry, agricultural and land management. However, accurate, robust and non- cost prohibitive spatially monitoring of soil moisture is ch...
Machine Learning Water Radar Soil Algorithms
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Real-Time Object Detection and Classification by UAV Equipped With SAR.

Sensors (Basel, Switzerland) Mar 7, 2022
The article presents real-time object detection and classification methods by unmanned aerial vehicles (UAVs) equipped with a synthetic aperture radar (SAR). Two algorithms have been extensively tested: classic image analysis and convolutional neural...
Radar Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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Human Being Detection from UWB NLOS Signals: Accuracy and Generality of Advanced Machine Learning Models.

Sensors (Basel, Switzerland) Feb 20, 2022
This paper studies the problem of detecting human beings in non-line-of-sight (NLOS) conditions using an ultra-wideband radar. We perform an extensive measurement campaign in realistic environments, considering different body orientations, the obstac...
Radar Time Machine Learning Humans
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Space Target Classification Improvement by Generating Micro-Doppler Signatures Considering Incident Angle.

Sensors (Basel, Switzerland) Feb 20, 2022
Classifying space targets from debris is critical for radar resource management as well as rapid response during the mid-course phase of space target flight. Due to advances in deep learning techniques, various approaches have been studied to classif...
Neural Networks, Computer Radar Space Flight Bone Plates Ultrasonography, Doppler
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Improving Radar Human Activity Classification Using Synthetic Data with Image Transformation.

Sensors (Basel, Switzerland) Feb 16, 2022
Machine Learning (ML) methods have become state of the art in radar signal processing, particularly for classification tasks (e.g., of different human activities). Radar classification can be tedious to implement, though, due to the limited size and ...
Algorithms Radar Human Activities Neural Networks, Computer Machine Learning Humans
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