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A comprehensive analysis of ghost imaging for remote sensing (GIRS): A review

Optics and Laser technology 2025年 189卷

作者： Iqbal, Rehmat Abbas, Ayesha Jie, Cao Shah, Syed Ali Idrees, Muhammad Ning, Yan Key laboratory of Biomimetic Robots and System Ministry of Education China School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Biomimetic Robots and System Ministry of Education China Yangtze Delta Region Academy Beijing Institute of Technology Jiaxing314003 China National Key Laboratory on Near-surface Detection Beijing100072 China School of Physics Beijing Institute of Technology Beijing100081 China National Key Laboratory of Land and Air Based Information Perception and Control China Xian Modern Control Technology Research Institute China

Ghost imaging (GI) is an innovative technique that utilizes correlated light intensities to reconstruct images without the requirement of direct spatial resolution measurements. It offers several advantages in various applications, such as improved image resolution, robustness against noise and scattering, less computational cost, and an effective solution for low-light imaging. GI enables surveillance and target detection in remote sensing with its recent developments. With the evolving technique of GI with machine and deep learning (ML/DL), GI with LiDAR and advanced reconstruction algorithms in computational ghost imaging (CGI), GI can be applied in various domains of remote sensing. Ghost imaging in remote sensing (GIRS), is potential solution for atmospheric monitoring, target detection and classification, surveillance and underwater imaging. In this comprehensive analysis, we studied the recent advancements in GI and its modalities in remote sensing with new developments in optical components used in GIRS. However, with the challenges available in scaling the technologies for long-range sensing and real-time processing capabilities, we provide comprehensive solutions in limitations and future directions with advantages in GIRS. © 2025 Elsevier Ltd

关键词： Optical remote sensing

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Sound event localization and detection based on deep learning

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Journal of Systems Engineering and Electronics 2024年第2期35卷 294-301页

作者： ZHAO Dada DING Kai QI Xiaogang CHEN Yu FENG Hailin School of Mathematics and Statistics Xidian UniversityXi’an 710071China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035China

Acoustic source localization(ASL)and sound event detection(SED)are two widely pursued independent research *** recent years,in order to achieve a more complete spatial and temporal representation of sound field,sound event localization and detection(SELD)has become a very active research *** paper presents a deep learning-based multioverlapping sound event localization and detection algorithm in three-dimensional ***-Mel spectrum and generalized cross-correlation spectrum are joined together in channel dimension as input *** features are classified and regressed in parallel after training by a neural network to obtain sound recognition and localization results *** channel attention mechanism is also introduced in the network to selectively enhance the features containing essential information and suppress the useless ***,a thourough comparison confirms the efficiency and effectiveness of the proposed SELD *** experiments show that the proposed algorithm is robust to reverberation and environment and can achieve higher recognition and localization accuracy compared with the baseline method.

关键词： sound event localization and detection(SELD) deep learning convolutional recursive neural network(CRNN) channel attention mechanism

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A novel variable structure multi-model approach based on error-ambiguity decomposition

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Chinese Journal of Aeronautics 2020年第6期33卷 1731-1746页

作者： Han SHEN-TU Yingjiao RONG Dongliang PENG Mengfan XUE Yunfei GUO Institution of Information and Control Hangzhou Dianzi UniversityHangzhou 310018China Science and Technology on Near-Surface Detection Laboratory Wuxi 214035China

Model Set Adaptation(MSA)plays a key role in the Variable Structure Multi-Model tracking approach(VSMM).In this paper,the Error-Ambiguity Decomposition(EAD)principle is adopted to derive the EAD-MSA criterion that is optimal in the sense of minimizing the square error between the estimate and the ***,the EAD Variable Structure first-order General Pseudo Bayesian(EAD-VSGPB1)algorithm and the EAD Variable Structure Interacting Multiple Model(EAD-VSIMM)algorithm are *** proposed algorithms are tested in two groups of maneuvering target tracking scenarios under different modes and observation error *** simulation results demonstrate the effectiveness of the EAD-VSMM approach and show that,compared to some existing multi-model algorithms,the proposed EAD-VSMM algorithms achieve more robust and accurate tracking results.

关键词： Error-ambiguity decomposition Maneuvering target tracking Model sequence set adaptation Multi-model estimation Variable structure

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Maglev self-excited vibration suppression with a virtual sky-hooked damper

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Journal of Central South University 2016年第6期23卷 1363-1371页

作者：李金辉李杰周丹峰王连春 College of Mechatronics Engineering and Automation National University of Defense Technology Changsha 410073 China Science and Technology on Near-surface Detection Laboratory Wuxi 214035 China

This work addresses the problem of self-excited vibration,which degrades the stability of the levitation control,decreases the ride comfort,and restricts the construction cost of maglev ***,a minimum model containing a flexible bridge and a single levitation unit is *** on the simplified model,the principle underlying the self-excited vibration is *** investigations about the energy transmission between the levitation system and bridge,it is concluded that the increment of modal damping can dissipate the accumulated energy by the bridge and the self-excited vibration may be *** enlarge the equivalent modal damping of bridge,the sky-hooked damper is ***,to avoid the hardware addition of real sky-hooked damper,considering the fact that the electromagnet itself is an excellent actuator that is capable of providing sufficiently fast and large force acting on the bridge to emulate the influence of the real sky-hooked damper,the technique of the virtual sky-hooked damper is *** principle underlying the virtual sky-hooked damper by electromagnet is explored and the vertical velocity of bridge is ***,numerical and experimental results illustrating the stability improvement of the vehicle-bridge interaction system are provided.

关键词： maglev vehicle-bridge interaction system self-excited vibration sky-hooked damper

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Camouflaged people detection based on a semi-supervised search identification network

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Defence technology（防务技术） 2023年第3期21卷 176-183页

作者： Yang Liu Cong-qing Wang Yong-jun Zhou College of Automation Engineering Nanjing University of Aeronautics and AstronauticsNanjing211106China Science and Technology on Near-Surface Detection Laboratory Wuxi214000China

Automated detection of military people based on the images in different environments plays an important role in accurately completing military *** the equipment gradually moving towards intelligence,unmanned aerial vehicles(UAVs)will be widely used for integrated reconnaissance/attack in the *** lightweight and compact design of the small UAV allows it to travel through dense forests and other environments to capture images with its convenient ***,as the camouflage has been designed to blend in with surroundings,which greatly reduces the probability of the target being ***,the lack of training data on camouflaged people detection will inhibit the training of a deep *** address these problems,a novel semi-supervised camouflaged military people detection network is proposed to automatically detect the target from the *** this paper,the camouflaged object detection dataset(COD10K)is first supplemented according to our mission requirements,then the edge attention is utilized to enhance the boundaries based on search identification ***,a semi-supervised learning strategy is presented to take advantage of the unlabeled data which can alleviate insufficient data and improve the detection *** demonstrate that the proposed semi-supervised search identification network(Semi-SINet)performs well in camouflaged people detection compared with other object detection methods.

关键词： network environments utilized

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Research on Intelligent Acoustic Positioning System Based on Kalman Filter Model

Research on Intelligent Acoustic Positioning System Based on...

引用

2018 Chinese Automation Congress, CAC 2018

作者： Ming, Zhao Kai, Ding Yingjiao, Rong Hanming, Qian Science and Technology on Near-Surface Detection Laboratory WUXI China

ISBN: (纸本)9781728113128

Passive acoustic positioning is the use of acoustic sensor array to receive target acoustic signals, Extracting spatial information of the sound source through signal processing, a positioning technique to determine the target orientation and distance. In this paper, the Kalman filter algorithm is used to estimate the delay of different sensor signals, and the spatial azimuth geometry algorithm is used to analyze the target azimuth and elevation angle. A control method is designed to keep the S curve of the motor smooth and simplify the S-curve acceleration and deceleration. The azimuth angle is controlled by the new S-curve to control the horizontal motor, which can effectively monitor the target.1 © 2018 IEEE.

关键词： Kalman filters

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Application of multispectral remote sensing technology in surface water body extraction 5

Application of multispectral remote sensing technology in su...

引用

5th International Conference on Audio, Language and Image Processing, ICALIP 2016

作者： Ding, Zhang Qi, Ni Dong, Fang Jinhui, Li Wei, Yao Shenggui, Yuan Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9781509006533

This paper addresses an improved water-body extraction method by the multispectral remote sensing image of four-bands. Firstly, traditional multispectral water body extraction technologies are reviewed, and their features are compared. It shows that finding the most difference of the reflection ratio of the water body and the background is the core to improve the identification rate. Furthermore, combing data's feature of GF-01 and GF-02 satellites, an improved normalization index method by introducing the weighted average of the blue and green light bands was proposed. Finally, the comparative results illustrating the improvement of water body extraction are provided and analyzed. © 2016 IEEE.

关键词： Extraction

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Fractional Gradient Descent Algorithm for Nonlinear Additive Systems Using Weierstrass Approximation Method 3rd

Fractional Gradient Descent Algorithm for Nonlinear Additive...

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3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022

作者： Rong, Yingjiao Peng, Fei Lv, Rongqi Li, Shanshan Science and Technology on Near-Surface Detection Laboratory Wuxi214028 China

ISBN: (纸本)9789819952021

In this study, a fractional gradient descent (FGD) algorithm for nonlinear additive systems with unknown structure is proposed. The nonlinear model is turned into a linear-parameter model using the Weierstrass approximation approach. Then, a FGD algorithm is created to estimate all of the system's unknown parameters. A preconditioned matrix approach is also presented to improve the FGD algorithm's convergence rate. To demonstrate the effectiveness of the proposed algorithms, simulation examples are provided. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Parameter estimation

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An Improved Channel Assignment and Topology Control Algorithm in Cognitive Radio Networks 3rd

An Improved Channel Assignment and Topology Control Algorith...

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3rd International Conference on Advanced Intelligent Technologies, ICAIT 2022

作者： Yuelin, Xu Kai, Ding Xingchun, Xu Science and Technology On Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9789819952021

Cognitive radio has emerged as a promising technology to exploit the unused portions of spectrum in an opportunistic manner. Spectrum assignment is a key mechanism that limits the interference between second users and primary users, enabling a more efficient usage of the wireless spectrum. The licensed channels are randomly occupied by primary users in the cognitive radio networks. The channel occupancy time of the primary user in different channels is different too. By assuming it is negative exponentially distributed and combining the channel selection criteria of the robust topology control algorithm (CRTCA), an improved channel assignment algorithm (ICAA) was proposed. The simulation results indicate that the channel assignment method of considering the channel occupancy time of primary user is more than CRTCA in throughput and less than CRTCA in collision rate. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cognitive radio

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Research on SPA-based target acoustic signal trend term removal 5

Research on SPA-based target acoustic signal trend term remo...

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5th International Conference on Audio, Language and Image Processing, ICALIP 2016

作者： Kai, Ding Hao, Li Yichao, Zhu Shuang, Qiu Science and Technology on Near-Surface Detection Laboratory Wuxi214035 China

ISBN: (纸本)9781509006533

When intelligent fuse is detecting target acoustic signal, affected by external interference and other factors, the signal may bring on trend term. Existence of trend term may cause direct influence on the accuracy of target acoustic signal, so that it should be removed. In allusion to the problems in existing trend term removal methods, such as trend term type should be assumed in advance, and the calculation process is quite complicated, a smoothness priors approach based method is proposed to remove trend term of target acoustic signal. 3 categories of target acoustic signals were processed in the research. According to the results, the approach is effective in removing trend term of time domain waveform and power spectrum of target acoustic signal. Moreover, the method is simple and efficient, and is applicable to the trend term removal preprocessing of target sound signal. © 2016 IEEE.

关键词： Time domain analysis

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