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Adaptive background suppression method based on intelligent optimization for IR small target detection under complex cloud backgrounds
2020
IEEE Access
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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
2019
IEEE Access
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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
2017
Journal of Shipping and Ocean Engineering
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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
2020
Sensors
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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
2022
Computers Materials & Continua
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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]
2002
Hybrid Information Systems
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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
2020
High Voltage
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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]
2016
arXiv
pre-print
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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
2016
Sensors
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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
2022
Energies
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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]
2019
Artificial Intelligence - Applications in Agriculture and Bio-system Engineering [Working Title]
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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
2020
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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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]
2019
arXiv
pre-print
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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
2011
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
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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
2016
Journal of Electronic Imaging (JEI)
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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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