Search Results - "Hu, Moufa"

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  1. 1

    CNN‐based infrared dim small target detection algorithm using target‐oriented shallow‐deep features and effective small anchor by Du, Jinming, Lu, Huanzhang, Hu, Moufa, Zhang, Luping, Shen, Xinglin

    Published in IET image processing (01-01-2021)
    “…For the extremely small size and low signal‐to‐clutter ratio, target detection in infrared images is still a considerable challenge. Specifically, it is very…”
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    Journal Article
  2. 2

    Distributed Multi-Sensor Fusion for Multi-Group/Extended Target Tracking with Different Limited Fields of View by Xiong, Chao, Hu, Moufa, Lu, Huanzhang, Zhao, Fei

    Published in Applied sciences (01-11-2024)
    “…The identification of sensing group targets and extended targets is of paramount importance in the context of vehicle tracking and early warning detection. As…”
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    Journal Article
  3. 3

    Arbitrary clutter extended target probability hypothesis density filter by Shen, Xinglin, Zhang, Luping, Hu, Moufa, Xiao, Shanzhu, Tao, Huamin

    Published in IET radar, sonar & navigation (01-05-2021)
    “…Based on the random finite set (RFS) framework and the probability hypothesis density (PHD) filter, the extended target PHD (ET‐PHD) filter is proposed for…”
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    Journal Article
  4. 4

    DP–MHT–TBD: A Dynamic Programming and Multiple Hypothesis Testing-Based Infrared Dim Point Target Detection Algorithm by Du, Jinming, Lu, Huanzhang, Zhang, Luping, Hu, Moufa, Deng, Yingjie, Shen, Xinglin, Li, Dongyang, Zhang, Yu

    Published in Remote sensing (Basel, Switzerland) (01-10-2022)
    “…The detection and tracking of small targets under low signal-to-clutter ratio (SCR) has been a challenging task for infrared search and track (IRST) systems…”
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    Journal Article
  5. 5

    Multi-Scale Convolutional Neural Networks for Space Infrared Point Objects Discrimination by Deng, Qiuqun, Lu, Huanzhang, Tao, Huamin, Hu, Moufa, Zhao, Fei

    Published in IEEE access (2019)
    “…Object discrimination plays an important role in an infrared (IR) imaging system. However, at a long observing distance, the presence of detector noise and the…”
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    Journal Article
  6. 6

    Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification by Wu, Dongya, Lu, Huanzhang, Hu, Moufa, Zhao, Bendong

    Published in Applied sciences (01-11-2019)
    “…Exo-atmospheric infrared (IR) point target discrimination is an important research topic of space surveillance systems. It is difficult to describe the…”
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    Journal Article
  7. 7

    A Spatial-Temporal Feature-Based Detection Framework for Infrared Dim Small Target by Du, Jinming, Lu, Huanzhang, Zhang, Luping, Hu, Moufa, Chen, Sheng, Deng, Yingjie, Shen, Xinglin, Zhang, Yu

    “…The detection of infrared small targets under low signal-to-clutter ratio (SCR) and complex background conditions has been a challenging and popular research…”
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    Journal Article
  8. 8

    Exo-atmospheric infrared objects classification based on dual-channel LSTM network by Zhao, Fei, Zhang, Zhiyong, Hu, Moufa, Deng, Yingjie, Shen, Xinglin

    Published in Infrared physics & technology (01-12-2020)
    “…•A new exo-atmospheric infrared objects classification framework which depends on dual-channel LSTM network is proposed.•The exo-atmospheric objects simulation…”
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    Journal Article
  9. 9

    Recurrent neural networks for discrimination of exo-atmospheric targets based on infrared radiation signature by Ma, Ye, Hu, Moufa, Lu, Huanzhang, Chang, Qing

    Published in Infrared physics & technology (01-01-2019)
    “…•The infrared radiation intensity sequence model of space target is established.•The significance of micro-motion and temperature characteristics for space…”
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    Journal Article
  10. 10

    A novel medical image fusion method based on Rolling Guidance Filtering by Chen, Jingyue, Zhang, Lei, Lu, Lu, Li, Qilei, Hu, Moufa, Yang, Xiaomin

    Published in Internet of things (Amsterdam. Online) (01-06-2021)
    “…Medical image fusion realizes the complementary advantages of information between different modality medical images to obtain more comprehensive and precise…”
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    Journal Article
  11. 11

    Infrared pedestrian detection utilizing entropy-edge weighted local gradient orientation descriptor by Yuhao Yue, Qing Chang, Moufa Hu

    “…Detecting infrared pedestrian in outdoor smart video surveillance is always a challenging and difficult problem. Although there have been many methods based on…”
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    Conference Proceeding
  12. 12

    A new ISAR range alignment method via minimum tsallis entropy by Hu Moufa, Gao Lei, Zhang Zhiyong

    “…Motion compensation is very important for Inverse synthetic aperture radar (ISAR) imaging while the imaging quality is directly dependent on its performance…”
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    Conference Proceeding
  13. 13

    Joint PHD Filter and Hungarian Assignment Algorithm for Multitarget Tracking in Low Signal-to-Noise Ratio by Xiao, S., Tao, H., Shen, X., Zhang, L., Hu, M.

    Published in Radioengineering (01-06-2023)
    “…Multitarget tracking (MTT) for image processing in low signal-to-noise ratio (SNR) is difficult and computationally expensive because the distinction between…”
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    Journal Article
  14. 14

    Comprehensive evaluation on ISAR anti-jamming effectiveness via ELECTRE-III by Hu Moufa, Gao Lei, Zhang Zhiyong

    “…Anti-jamming effect evaluation on Inverse Synthetic Aperture Radar (ISAR) is an important issue for electronic warfare. Existing evaluation methods always use…”
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    Conference Proceeding
  15. 15

    Visual Tracking Via Sparse Representation With Compressed PCA Basis Vectors by Zhang, Luping, Hu, Moufa

    “…In this paper, we present a novel visual tracking algorithm based on sparse representation. In contrast to the methods using target templates or PCA basis…”
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    Conference Proceeding
  16. 16

    Spatial-temporal difference method for detecting small moving targets in visible image background clutter by Moufa Hu, Zengping Chen

    “…The visible image background clutter is correlative in space and time domain. To detect small moving targets in complex visible image background clutter, the…”
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    Conference Proceeding
  17. 17

    Angle-Only Multi-Group Target Tracking by Xiong, Chao, Hu, Moufa, Lu, Huanzhang, Zhao, Fei

    “…This paper presents an enhanced Poisson Multi-Bernoulli Mixture (PMBM) group target filtering method that effectively tracks multiple group targets with…”
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    Conference Proceeding
  18. 18

    A Target Assignment Fusion Algorithm for Distributed Multi-Target Tracking by Xiong, Chao, Lu, Huanzhang, Hu, Moufa, Zhao, Fei

    “…This paper researches a challenging problem of distributed multi-target tracking in a network of sensors having different fields of view. To solve this, we…”
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    Conference Proceeding
  19. 19

    New Adaptive Background Suppression Algorithm via One Step M-filter by Moufa Hu, Yan Shen, Zengping Chen

    “…Background suppression is a key technique to small and dim targets automatic detection and tracking. And adaptive background estimation is an efficient way to…”
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    Conference Proceeding
  20. 20

    Arbitrary Clutter PHD Filter and Its Implementation by Shen, Xinglin, Zhang, Luping, Hu, Moufa

    “…This paper is focus on multiple target tracking with arbitrary clutter process by using the probability hypothesis density (PHD) filter. Based on the Random…”
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    Conference Proceeding