Research on Event Target Recognition Based on DRUNet and Multi-scale Attention
Sign Up to like & getrecommendations! Published in 2024 at "Neural Processing Letters"
DOI: 10.1007/s11063-024-11551-x
Abstract: Aiming at the problem of noise and insufficient feature extraction in event camera-based target recognition task, we proposes an event target recognition method based on DRUNet and multi-scale attention. Firstly, DRUNet is added as a… read more here.
Keywords: usepackage; event; multi scale; target recognition ... See more keywords
Design of Target Recognition System Based on Machine Learning Hardware Accelerator
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-5211-2
Abstract: Target recognition system based on machine learning has the problems of long delay, high power-consuming and high cost, which cause it difficult to be promoted in some small embedded devices. In order to develop a… read more here.
Keywords: based machine; target recognition; machine learning; target ... See more keywords
Robust PCANet on target recognition via the UUV optical vision system
Sign Up to like & getrecommendations! Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2018.12.098
Abstract: Abstract Inspired by the importance of preserve the robustness of algorithm, in this paper, a simple and effective underwater target recognition algorithm called robust principal component analysis network (RPCANet) is established, which has further enhanced… read more here.
Keywords: optical vision; recognition; uuv optical; target recognition ... See more keywords
Immunology: The patterns of T-cell target recognition
Sign Up to like & getrecommendations! Published in 2017 at "Nature"
DOI: 10.1038/nature23091
Abstract: The binding of T-cell receptors to peptide molecules not normally present in the body can trigger an immune response. Predicting which peptide a T-cell receptor will bind to — a difficult feat — has now… read more here.
Keywords: patterns cell; immunology patterns; target recognition; cell target ... See more keywords
HRRPGraphNet: Make HRRPs to be graphs for efficient target recognition
Sign Up to like & getrecommendations! Published in 2024 at "Electronics Letters"
DOI: 10.1049/ell2.70088
Abstract: High Resolution Range Profiles (HRRPs) have become a key area of focus in the domain of Radar Automatic Target Recognition (RATR). Despite the success of deep learning based HRRP recognition, these methods needs a large… read more here.
Keywords: target recognition; recognition; make hrrps; hrrpgraphnet make ... See more keywords
Genetic algorithm-tuned adaptive pruning SVDD method for HRRP-based radar target recognition
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1441566
Abstract: ABSTRACT A novel machine learning method named adaptive pruning support vector data description (APSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by the problem of radar automatic target… read more here.
Keywords: method; radar; recognition; target recognition ... See more keywords
New SAR target recognition based on YOLO and very deep multi-canonical correlation analysis
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2021.1953719
Abstract: Synthetic Aperture Radar (SAR) images are prone to be contaminated by noise, which makes it very difficult to perform target recognition in SAR images. Inspired by great success of very deep convol... read more here.
Keywords: target recognition; sar target; new sar; sar ... See more keywords
LSCB: a lightweight feature extraction block for SAR automatic target recognition and detection
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2023.2203342
Abstract: ABSTRACT Automatic target recognition and detection in synthetic aperture radar (SAR) images is playing a significant role in military and civilian fields. Traditional methods are weak in migration capabilities and cumbersome in manual design. Existing… read more here.
Keywords: recognition; target recognition; recognition detection; block ... See more keywords
Quantum illumination assistant with error-correcting codes
Sign Up to like & getrecommendations! Published in 2020 at "New Journal of Physics"
DOI: 10.1088/1367-2630/ab6064
Abstract: We scheme how to enhance the detection ability of quantum target recognition without using entanglement resources. Based on the commonly used error-correcting codes and corresponding decoding method, our scheme gives lower error probability and higher… read more here.
Keywords: detection; error; correcting codes; error correcting ... See more keywords
Radar HRRP Target Recognition Based on Concatenated Deep Neural Networks
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DOI: 10.1109/access.2018.2842687
Abstract: In this paper, a deep neural network with concatenated structure is created for the recognition of flight targets. Compared with the traditional recognition method, the deep network model automatically gets deeper structure information that is… read more here.
Keywords: deep neural; target; recognition; target recognition ... See more keywords
Radar Target Recognition Based on Feature Pyramid Fusion Lightweight CNN
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2909348
Abstract: In order to improve the accuracy and robustness of radar target recognition under low SNR conditions, a novel radar high range resolution profile (HRRP) target recognition method based on feature pyramid fusion lightweight CNN is… read more here.
Keywords: feature pyramid; target recognition; feature; target ... See more keywords