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Infrared Small Target Detection via Non-Convex Tensor Rank Surrogate Joint Local Contrast Energy

Xuewei Guan, Landan Zhang, Suqi Huang, Zhenming Peng
2020 Remote Sensing  
Small target detection is a crucial technique that restricts the performance of many infrared imaging systems.  ...  In this paper, a novel detection model of infrared small target via non-convex tensor rank surrogate joint local contrast energy (NTRS) is proposed.  ...  In summary, to overcome some deficiencies of current detection methods based on IPT model, we propose a novel small infrared target detection model via non-convex tensor rank surrogate (NTRS) and local  ... 
doi:10.3390/rs12091520 fatcat:ofzrgbctnfexfn5m4hhtjyyzva

Review on recent development in infrared small target detection algorithms

Sur Singh Rawat, Sashi Kant Verma, Yatindra Kumar
2020 Procedia Computer Science  
Keywords: Track before detection (TBT), detect before track(DBT), infrared search and track, signal to clutter ratio, infrared patch image model 1.  ...  Keywords: Track before detection (TBT), detect before track(DBT), infrared search and track, signal to clutter ratio, infrared patch image model 1.  ...  Dai [58] proposed improved the infrared patch image model by using structure patch tensor model.  ... 
doi:10.1016/j.procs.2020.03.302 fatcat:nawe7rekzjcevg4rkrur4lavpe

Low-Rank Approximation and Multiple Sparse Constraints Modelling for Infrared Low-Flying Fixed-Wing UAV Detection

Wei Xue, Jiahao Qi, Guoqing Shao, Zixuan Xiao, Yu Zhang, Ping Zhong
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
We first model the infrared image that to be detected as a sum of three patch matrices called background, target and noise.  ...  In this paper, we focus on the detection of low-flying fixed-wing unmanned aerial vehicle (UAV) target based on infrared imaging.  ...  CONCLUSION Aiming to improve the detection performance of infrared patch-image-based model under complex backgrounds, this paper proposed a new infrared dim small target detection model based on nonconvex  ... 
doi:10.1109/jstars.2021.3069032 fatcat:qjcvpnnkbbd2xhmj4haldrheo4

Local Patch Network with Global Attention for Infrared Small Target Detection [article]

Fang Chen, Chenqiang Gao, Fangcen Liu, Yue Zhao, Yuxi Zhou, Deyu Meng, Wangmeng Zuo
2021 arXiv   pre-print
A local patch network (LPNet) with global attention is proposed in this paper to detect small targets by jointly considering the global and local properties of infrared small target images.  ...  Infrared small target detection plays an important role in the infrared search and tracking applications.  ...  [8] proposed the patch-image in infrared small target detection and constructed the low-rank based infrared patch-image (IPI) model. Dai et al.  ... 
arXiv:2108.06054v3 fatcat:ttwgwconpjbmhnsu44lqnhj7bq

Infrared Small Target Detection Based on Non-Overlapping Patch Model via l0-l1 Norm

Jiaqi Yang, Yi Cui, Fei Song, Tao Lei
2020 Electronics  
Infrared small target detection technology has sufficient applications in many engineeringfields, such as infrared early warning, infrared tracking, and infrared reconnaissance.  ...  To address these issues, a novel method based on a nonoverlappingpatch (NOP) joint l0-l1 norm is proposed with the introduction of sparsity regularizedprincipal component pursuit (SRPCP).  ...  Acknowledgments: The authors would thank the published code of Gao's model and Zhang's model for comparison. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9091426 fatcat:fppipwz3fndipjwvcj2hwkd22i

Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm

Landan Zhang, Lingbing Peng, Tianfang Zhang, Siying Cao, Zhenming Peng
2018 Remote Sensing  
To improve the detection ability of infrared small targets in complex backgrounds, a novel method based on non-convex rank approximation minimization joint l2,1 norm (NRAM) was proposed.  ...  Due to the defects of the nuclear norm and l1 norm, the state-of-the-art infrared image-patch (IPI) model usually leaves background residuals in the target image.  ...  Small targets were detected by adaptive threshold segmentation; the selection of the threshold was based on [21] . (1). Patch-image construction.  ... 
doi:10.3390/rs10111821 fatcat:yopssroutrfvhhvtpasxrqrjwe

A Method of Infrared Small Target Detection in Strong Wind Wave Backlight Conditions

Dongdong Ma, Lili Dong, Wenhai Xu
2021 Remote Sensing  
How to accurately detect small targets from the complex maritime environment has been a bottleneck problem.  ...  In order to solve this problem, the main contribution of this paper is to propose a small target detection method suitable for SWWBC.  ...  Philip [4] based on the robustness of HVS, proposed a multi-scale local contrast measurement method based on the derived kernel model (DK Model) to achieve infrared target detection.  ... 
doi:10.3390/rs13204189 doaj:5c37c1f671d043c0ba4e82122da363b6 fatcat:g5pyr3zlafdljbyfnpqbrt43fy

Automatic Infrared Ship Target Segmentation Based on Structure Tensor and Maximum Histogram Entropy

Yongsong Li, Zhengzhou Li, Zhiquan Ding, Tianqi Qin, Weiqi Xiong
2020 IEEE Access  
INDEX TERMS Infrared (IR) imaging, ship target segmentation, structure tensor, maximum histogram entropy, modified watershed transform.  ...  Then, based on the intensity distribution of ship target and sea background, the adaptive maximum histogram entropy (AMHE) is presented to accurately perceive the brightness (dark or bright) of ship target  ...  ACKNOWLEDGMENT The authors would like to thank the relevant researchers for providing the image datasets.  ... 
doi:10.1109/access.2020.2977690 fatcat:catvy4bbx5bvxoebojgue7bhb4

Digital Image Processing of The Ghent Altarpiece: Supporting the painting's study and conservation treatment

Aleksandra Pizurica, Ljiljana Platisa, Tijana Ruzic, Bruno Cornelis, Ann Dooms, Maximiliaan Martens, Helene Dubois, Bart Devolder, Marc De Mey, Ingrid Daubechies
2015 IEEE Signal Processing Magazine  
imaging techniques, image processing, and analytical chemistry).  ...  Hélène Dubois (helene.dubois@kikirpa.be) is a painting conservator and art historian. She trained at the Université Libre de  ...  [ fIg7] patch-based inpainting and the proposed improvement. (a) a greedy approach chooses one replacement patch based on the known part of the damaged patch.  ... 
doi:10.1109/msp.2015.2411753 fatcat:r6f3k6meavfnhn6qfdn5qeacdm

Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition [article]

Vladimir Iglovikov, Sergey Mushinskiy, Vladimir Osin
2017 arXiv   pre-print
Our approach is based on an adaptation of fully convolutional neural network for multispectral data processing.  ...  Its accuracy is comparable to the first two places, but unlike those solutions, it doesn't rely on complex ensembling techniques and thus can be easily scaled for deployment in production as a part of  ...  Figure 5 : 5 Image formed via patch-based predictions. This lead to boundary effects in a form of square structure near the edge of each patch.  ... 
arXiv:1706.06169v1 fatcat:5z4cniwwfbaltkstiw2ok5jzoa

PixelGame: Infrared small target segmentation as a Nash equilibrium [article]

Heng Zhou, Chunna Tian, Zhenxi Zhang, Chengyang Li, Yongqiang Xie, Zhongbo Li
2022 arXiv   pre-print
A key challenge of infrared small target segmentation (ISTS) is to balance false negative pixels (FNs) and false positive pixels (FPs).  ...  MIM effectively focuses on the salient region including small targets. Extensive experiments on two standard public datasets prove the effectiveness of our method.  ...  The infrared patch-image (IPI) model [49] regarded small target detection as an optimization problem of recovering low-rank and sparse matrices. Dai et al.  ... 
arXiv:2205.13124v1 fatcat:6ykpdwyzqngq5k5jirxb563dw4

EAAU-Net: Enhanced Asymmetric Attention U-Net for Infrared Small Target Detection

Xiaozhong Tong, Bei Sun, Junyu Wei, Zhen Zuo, Shaojing Su
2021 Remote Sensing  
However, existing CNN-based methods with pooling layers may lose the targets in the deep layers and, thus, cannot be directly applied for infrared small target detection.  ...  Detecting infrared small targets lacking texture and shape information in cluttered environments is extremely challenging.  ...  patch-tensor model (RIPT) [11] .  ... 
doi:10.3390/rs13163200 fatcat:4c6ehm7g3valpibz37teh6l36y

Multidirectional Ring Top-Hat Transformation for Infrared Small Target Detection

Wang Cheng-long, Wang Lu Ping
2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
 Abstract-Fast and robust detection of a small target in an infrared image is one of the key techniques in infrared search and track systems.  ...  The Top-Hat transformation is an important technology in the field of infrared target detection.  ...  Based on the required number of image frames, the small infrared target detection algorithms can be divided into singleframe small infrared target detection algorithms and sequentialframes small infrared  ... 
doi:10.1109/jstars.2021.3103261 fatcat:zfqfk35bfjapjen4akppa6rgse

Infrared Dim and Small Target Detection Based on Greedy Bilateral Factorization in Image Sequences

Dongdong Pang, Tao Shan, Wei Li, Pengge Ma, Shengheng Liu, Ran Tao
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
In this article, a low-rank and sparse decomposition method based on greedy bilateral factorization is proposed for IR dim and small target detection.  ...  Index Terms-Greedy bilateral factorization, image sequences, infrared (IR) dim and small targets detection, low-rank and sparse decomposition (LSD).  ...  A new IR patch-tensor (IPT) model is proposed, which uses the prior information of image structure [35] .  ... 
doi:10.1109/jstars.2020.2998822 fatcat:aa64gqtirjbktkmsp3eqst6jj4

Front Matter: Volume 10615

Hui Yu, Junyu Dong
2018 Ninth International Conference on Graphic and Image Processing (ICGIP 2017)  
using a Base 36 numbering system employing both numerals and letters.  ...  SPIEDigitalLibrary.org Paper Numbering: Proceedings of SPIE follow an e-First publication model. A unique citation identifier (CID) number is assigned to each article at the time of publication.  ...  multi-level MSER and SWT 10615 0H Object tracking algorithm based on the color histogram probability distribution 10615 0I Infrared small target detection based on multiscale center-surround contrast  ... 
doi:10.1117/12.2316542 fatcat:tdaw76jq6nehpnttiga2lcuhna
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