Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure
Infrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target detection. In this paper, an uncertainty measurement m...
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MDPI AG
2024-09-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/14/19/8798 |
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| author | Xiaoqing Wang Zhantao Zhang Yujie Jiang Kuanhao Liu Yafei Li Xuri Yao Zixu Huang Wei Zheng Jingqi Zhang Fu Zheng |
| author_facet | Xiaoqing Wang Zhantao Zhang Yujie Jiang Kuanhao Liu Yafei Li Xuri Yao Zixu Huang Wei Zheng Jingqi Zhang Fu Zheng |
| author_sort | Xiaoqing Wang |
| collection | DOAJ |
| description | Infrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target detection. In this paper, an uncertainty measurement method based on local component consistency is proposed to suppress the complex background and highlight the detection target. The method analyzes the local signal consistency of the image. It then constructs a confidence assignment function and uses the mutation entropy operator to measure local uncertainty. Then, the target energy information is introduced through an energy-weighting function to further enhance the signal. Finally, the target is extracted using an adaptive threshold segmentation algorithm. The experimental results show that the algorithm can effectively detect small infrared targets in complex backgrounds. And, the algorithm is at the leading edge in terms of performance; the processing frame rate can reach 3051 FPS (frame per second), 96 FPS, and 54 FPS for image data with a resolution of 256 × 256, 1920 × 1080, and 2560 × 1440, respectively. |
| format | Article |
| id | doaj-art-ef9637a75be848e0bd66e26c2fe84e93 |
| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-ef9637a75be848e0bd66e26c2fe84e932025-08-20T01:47:41ZengMDPI AGApplied Sciences2076-34172024-09-011419879810.3390/app14198798Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty MeasureXiaoqing Wang0Zhantao Zhang1Yujie Jiang2Kuanhao Liu3Yafei Li4Xuri Yao5Zixu Huang6Wei Zheng7Jingqi Zhang8Fu Zheng9Center for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing 100081, ChinaCenter for Quantum Technology Research and Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurements (MOE), School of Physics, Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100090, ChinaKey Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100090, ChinaSchool of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, ChinaKey Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing 100090, ChinaInfrared small target detection is a key technology with a wide range of applications, and the complex background and low signal-to-noise ratio characteristics of infrared images can greatly increase the difficulty and error rate of small target detection. In this paper, an uncertainty measurement method based on local component consistency is proposed to suppress the complex background and highlight the detection target. The method analyzes the local signal consistency of the image. It then constructs a confidence assignment function and uses the mutation entropy operator to measure local uncertainty. Then, the target energy information is introduced through an energy-weighting function to further enhance the signal. Finally, the target is extracted using an adaptive threshold segmentation algorithm. The experimental results show that the algorithm can effectively detect small infrared targets in complex backgrounds. And, the algorithm is at the leading edge in terms of performance; the processing frame rate can reach 3051 FPS (frame per second), 96 FPS, and 54 FPS for image data with a resolution of 256 × 256, 1920 × 1080, and 2560 × 1440, respectively.https://www.mdpi.com/2076-3417/14/19/8798infraredsmall target detectionFPGA |
| spellingShingle | Xiaoqing Wang Zhantao Zhang Yujie Jiang Kuanhao Liu Yafei Li Xuri Yao Zixu Huang Wei Zheng Jingqi Zhang Fu Zheng Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure Applied Sciences infrared small target detection FPGA |
| title | Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure |
| title_full | Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure |
| title_fullStr | Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure |
| title_full_unstemmed | Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure |
| title_short | Hardware-Accelerated Infrared Small Target Recognition Based on Energy-Weighted Local Uncertainty Measure |
| title_sort | hardware accelerated infrared small target recognition based on energy weighted local uncertainty measure |
| topic | infrared small target detection FPGA |
| url | https://www.mdpi.com/2076-3417/14/19/8798 |
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