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Adaptive background suppression method based on intelligent optimization for IR small target detection under complex cloud backgrounds

Xiangyang Ren, Jie Wang, Tianlei Ma, Caitong Yue, Ke Bai
2020 IEEE Access  
To improve the detection of dim and small targets in infrared (IR) images containing high-intensity cloud clutter, a novel adaptive background suppression method is proposed.  ...  Experimental results indicate that the proposed adaptive background suppression method using these optimal parameters has good performance for IR images in real complex scenes, as well as performance superior  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for the valuable comments and suggestions.  ... 
doi:10.1109/access.2020.2974890 fatcat:g3aixsnpfncojk365q3ee4xzoa

Infrared Small Target Detection Based on Spatial-temporal Enhancement Using Quaternion Discrete Cosine Transform

Ping Zhang, Xiaowei Wang, Xiaoyang Wang, Chun fei, Zhengkui Guo
2019 IEEE Access  
In this paper, we propose an infrared small target detection method that improves the target contrast and suppresses background clutters based on spatial-temporal enhancement using the quaternion discrete  ...  The proposed method is twofold: 1) we propose to detect the infrared small target by constructing the quaternion feature map for infrared images.  ...  They would also grateful to our teachers for their great help in checking the grammar, and to the anonymous reviewers and the editor for their valuable comments and suggestions which are very helpful in  ... 
doi:10.1109/access.2019.2912976 fatcat:jdrivyzelveqlb7i4qj2wmtnia

Research Review on Marine Search and Rescue

CHEN Xinqiang, SHI Chaojian, WANG Shengzheng, WU Huafeng, XU Tie, KE Ruimin
2017 Journal of Shipping and Ocean Engineering  
What's more, small target detection under complex sea status is one of the severe challenges which is research's hotspot and needs more endeavor.  ...  As the effect of marine target detection restricts the SAR result directly, the study has focused on reviewing the previous research about marine target detection, especially dim marine target detection  ...  The marine weak target detection method based on visible light employs computer vision technology to search for the dim target instead of human eyes.  ... 
doi:10.17265/2159-5879/2017.03.004 fatcat:tnwnqx6ahfgbdagvsu6bjfrxfq

Feature Channel Expansion and Background Suppression as the Enhancement for Infrared Pedestrian Detection

Shengzhe Wang, Bo Wang, Shifeng Wang, Yifeng Tang
2020 Sensors  
Besides, a novel background suppression method is proposed to stimulate the attention principle of human vision and shrink the region of detection.  ...  The results prove that background suppression and suitable feature expansion will accelerate the training process and enhance the performance of IR image-based deep learning models.  ...  Acknowledgments: The authors thank Opto-electronic Technology Association, Changchun University of Science and Technology for their GPU and other devices.  ... 
doi:10.3390/s20185128 pmid:32916784 fatcat:pubxbhugfza4znvmp6v7eacbge

3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data

Siddiqui Muhammad Yasir, Amin Muhammad Sadiq, Hyunsik Ahn
2022 Computers Materials & Continua  
In this paper, we propose a novel approach for efficient 3D instance segmentation using red green blue and depth (RGB-D) data based on deep learning.  ...  The 2D region based convolutional neural networks (Mask R-CNN) deep learning model with point based rending module is adapted to integrate with depth information to recognize and segment 3D instances of  ...  Current 3D segmentation methods for recognizing objects are based on post-processing on the point clouds and require a lot of processing and these methods are not suitable for real-time and robotic applications  ... 
doi:10.32604/cmc.2022.025909 fatcat:cbuvnl5tbzb27c2z25jz3qwmxi

A Bayesian Track-before-Detect Algorithm for IR Point Target Detection [chapter]

Robert C. Warren
2002 Hybrid Information Systems  
An algorithm has been developed for the detection of point targets in uncluttered background based on a Bayesian track before detect method.  ...  The algorithm was tested on an infrared image sequence of an aircraft approaching the sensor at low level over water with a diffuse cloud background, and it was found to perform significantly better than  ...  Stephane Collignon is thanked for his assistance with the software integration and Greg Teague for assistance with the planning and execution of the trials. References  ... 
doi:10.1007/978-3-7908-1782-9_39 fatcat:lfpza6qtzrfodlf4ffpydoz5je

Infrared thermography-based diagnostics on power equipment: State-of-the-art

Changjie Xia, Ming Ren, Bing Wang, Ming Dong, Guanghao Xu, Jiacheng Xie, Chongxing Zhang
2020 High Voltage  
In pursuit of automatic fault diagnosis, deep learning algorithms are introduced to achieve target detection in the complex environment.  ...  fault diagnosis as well as image-based intelligent fault identification.  ...  | CNN-based target detection on IR images There are two frameworks for CNN-based target detection methods used in IR image processing [77] : i.  ... 
doi:10.1049/hve2.12023 fatcat:my6wphkgufa2lb7ljlygzmtq24

Video Processing from Electro-optical Sensors for Object Detection and Tracking in Maritime Environment: A Survey [article]

D. K. Prasad, D. Rajan, L. Rachmawati, E. Rajabaly, C. Quek
2016 arXiv   pre-print
We present a survey on maritime object detection and tracking approaches, which are essential for the development of a navigational system for autonomous ships.  ...  The object detection system consists of the following modules: horizon detection, static background subtraction and foreground segmentation.  ...  This paper presents a taxonomic survey of the approaches for processing EO data acquired from maritime environment. The organization of this survey is given in Fig. 1 .  ... 
arXiv:1611.05842v1 fatcat:da74eep66rdl5is2rwqsi7yzjm

Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring

Robert Allison, Joshua Johnston, Gregory Craig, Sion Jennings
2016 Sensors  
Access and use of this website and the material on it are subject to the Terms and Conditions set forth at Airborne optical and thermal remote sensing for wildfire detection and monitoring Allison, Robert  ...  Similarly, new airborne sensor platforms, particularly small, unmanned aircraft or drones, are enabling new applications for airborne fire sensing.  ...  Acknowledgments: Thanks to the Ontario Centres of Excellence for support under contract OCE YO RE R50694-08: Advanced Sensors and Mapping for Forest Fire Suppression.  ... 
doi:10.3390/s16081310 pmid:27548174 pmcid:PMC5017475 fatcat:iktzg7cbabcxjay6m3ij5db3ki

Emission Quantification via Passive Infrared Optical Gas Imaging: A Review

Ruiyuan Kang, Panos Liatsis, Dimitrios C. Kyritsis
2022 Energies  
of quantitative IOGI, and alleviates its heavy reliance on prior context-based knowledge.  ...  Advanced AI algorithms, as well as the simultaneous development of diagnostics based on relevant physics and AI algorithms for the accurate and correct extraction of quantitative information from infrared  ...  Through this method, Sandsten et al. reached a detection limit of Ammonia to 200 ppm × m under a temperature contrast between background and gas that was equal to 18 K.  ... 
doi:10.3390/en15093304 fatcat:xkt5gbp2rzelpkj7xevrrytn3e

From Pillars to AI Technology-Based Forest Fire Protection Systems [chapter]

Nikos Aspragathos, Eleftherios Dogkas, Pavlos Konstantinidis, Panagiotis Koutmos, Nefeli Lamprinou, Vassilis C. Moulianitis, Georgios Paterakis, Emmanouil Ζ. Psarakis, Evangelos Sartinas, Konstantinos Souflas, Georgios Thanellas, Georgios Tsiourlis (+2 others)
2019 Artificial Intelligence - Applications in Agriculture and Bio-system Engineering [Working Title]  
We start our tour from the pillars which were for a long time period, the only possible method to oversee the forest fires.  ...  In this chapter, we review the evolution of the forest fire protection systems and emphasize on open issues and the improvements that can be achieved using artificial intelligence technology.  ...  Acknowledgements This research was supported by the EU and Greek State on behalf of the program "Forest Monitoring System for Early Fire Detection and Assessment in the Balkan-Med Area (SFEDA)", MIS: 5013503  ... 
doi:10.5772/intechopen.86904 fatcat:xytfh6c5pjglxgmfvmalaiul4m

A Center Location Algorithm for Tropical Cyclone in Satellite Infrared Images

Pingping Wang, Ping Wang, Cong Wang, Yue Yuan, Di Wang
2020 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
Furthermore, a two-step scheme for locating the TC center is proposed, which contains the object detection for TCs with deep learning and the comprehensive decision for TC centers.  ...  A high detection rate and a low false alarm rate are obtained with the object detection, which provides an initial position for the TC center.  ...  They are also thankful to China Meteorological Administration and Tianjin Meteorological Station for their help in parsing satellite data.  ... 
doi:10.1109/jstars.2020.2995158 fatcat:zgbw2l6naffdbcmilkqkqfsniy

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions [article]

T. Bouwmans, B. Garcia-Garcia
2019 arXiv   pre-print
Computer vision applications based on videos often require the detection of moving objects in their first step.  ...  However, the ultimate goal is that the background subtraction methods developed in research could be employed in real applications like traffic surveillance.  ...  Under these conditions, targets that are not fish might be detected as false positives.  ... 
arXiv:1901.03577v1 fatcat:sstv5kua45aixaslrajklv2rae

Front Matter: Volume 8193

Proceedings of SPIE
2011 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications  
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon.  ...  The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters.  ...  Wang, Communication Univ. of China (China) 8193 1L IR image synthesis for small target under sky background [8193-56] Q. Cao, Y. Shen, J.  ... 
doi:10.1117/12.905100 fatcat:vsjak6yid5h6rbilsgrukyrtwy

Vision-based traffic surveys in urban environments

Zezhi Chen, Tim Ellis, Sergio A. Velastin
2016 Journal of Electronic Imaging (JEI)  
Vehicles are detected using background subtraction based on a Gaussian Mixture Model (GMM) that can cope with vehicles that become stationary over a significant period of time.  ...  Classification is performed using SVM (support vector machine), which is trained on a small set of hand-labeled silhouette exemplars.  ...  Velastin is grateful to funding received from the Universidad Carlos III de Madrid, the European Union's Seventh Framework Programme for research, technological development and demonstration under grant  ... 
doi:10.1117/1.jei.25.5.051206 fatcat:b2fv3xlrpnblhdxqnzyjv5qswa
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