Relevant bibliographies by topics / Air-target detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Air-target detection'

Author: Grafiati
Published: 22 February 2023
Last updated: 31 July 2025

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Journal articles on the topic "Air-target detection"

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Tian, Zhongmin, Fei Yang, and Donghong Qin. "An Improved New YOLOv7 Algorithm for Detecting Building Air Conditioner External Units from Street View Images." Sensors 23, no. 22 (2023): 9118. http://dx.doi.org/10.3390/s23229118.

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Street view images are emerging as new street-level sources of urban environmental information. Accurate detection and quantification of urban air conditioners is crucial for evaluating the resilience of urban residential areas to heat wave disasters and formulating effective disaster prevention policies. Utilizing street view image data to predict the spatial coverage of urban air conditioners offers a simple and effective solution. However, detecting and accurately counting air conditioners in complex street-view environments remains challenging. This study introduced 3D parameter-free atten
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Hao, Hexiang, Yueping Peng, Zecong Ye, et al. "A High Performance Air-to-Air Unmanned Aerial Vehicle Target Detection Model." Drones 9, no. 2 (2025): 154. https://doi.org/10.3390/drones9020154.

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In the air-to-air UAV target detection tasks, the existing algorithms suffer from low precision, low recall and high dependence on device processing power, which makes it difficult to detect UAV small targets efficiently. To solve the above problems, this paper proposes an high-precision model, ATA-YOLOv8. In this paper, we analyze the problem of UAV small target detection from the perspective of the efficient receptive field. The proposed model is evaluated using two air-to-air UAV image datasets, MOT-FLY and Det-Fly, and compared with YOLOv8n and other SOTA algorithms. The experimental resul
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Brown, J., K. Woodbridge, A. Stove, and S. Watts. "Air target detection using airborne passive bistatic radar." Electronics Letters 46, no. 20 (2010): 1396. http://dx.doi.org/10.1049/el.2010.1732.

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Zheng, Lu, Tongtong Zhou, Yueping Peng, and Zecong Ye. "Infrared target detection method using adaptive feature fusion." Journal of Physics: Conference Series 2290, no. 1 (2022): 012081. http://dx.doi.org/10.1088/1742-6596/2290/1/012081.

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Abstract As the key technology of low altitude airspace security and air attack, vision-based air target detection has better concealment and lower cost compared with radar, radio and other detection methods. Based on yolov3, this paper proposes an air infrared target detection algorithm using adaptive feature fusion, which can effectively improve the accuracy of air infrared multi-scale target detection. Firstly, the construction of air infrared target detection data set is completed, and the target characteristics in the data set are statistically analysed. Secondly, the output layer of back
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Kim, Tae-Hyung, Sung-Won Lee, June-Hyune Park, Myoung-Il Kang, and Hang-Soo Lee. "Waveform Design for Air-to-Air Long-Range Target Detection of Fighter Radar." Journal of Korean Institute of Electromagnetic Engineering and Science 35, no. 9 (2024): 715–20. http://dx.doi.org/10.5515/kjkiees.2024.35.9.715.

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Dong, Xiaona, Huilin Jiang, Yansong Song, and Keyan Dong. "Precision Detection of Infrared Small Target in Ground-to-Air Scene." Remote Sensing 16, no. 22 (2024): 4230. http://dx.doi.org/10.3390/rs16224230.

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Reliable infrared small target detection plays an important role in infrared search and track systems. In recent years, most target detection methods usually use the statistical features of a rectangular window to represent the contrast between the target and the background. When the size of the target is small or the target is close to the background, the statistical features of the rectangular window would reduce the significance of the target. Moreover, such methods have limited effect on interfering targets, high brightness background, background edges, and clutter suppression in complex b
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Niu, Wei, Bo Gao, Wentao Zhan, and Juan Cheng. "Research on target detection method based on CNN." Journal of Physics: Conference Series 2252, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2252/1/012051.

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Abstract Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requireme
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Niu, Wei, Bo Gao, Wentao Zhan, and Juan Cheng. "Research on target detection method based on CNN." Journal of Physics: Conference Series 2252, no. 1 (2022): 012051. http://dx.doi.org/10.1088/1742-6596/2252/1/012051.

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Abstract Traditional target detection methods have poor tracking effect for targets with excessive displacement or occlusion between adjacent frames, and it is difficult to deal with high-speed moving targets. In view of the low detection rate of the current system in detecting long-distance weak and small targets, false targets and occlusion in the air, the working mode of convolutional neural network (CNN) and its advantages in target detection are analyzed, and a target detection method based on CNN is proposed, which can ensure the target detection accuracy and meet the real-time requireme
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Lin, Xiaobin, Liping Xiang, Chengzhi Zhang, and Meng Xie. "Research on Background Knowledge Based Software Processing Method of Target Height Measurement for 3D Radar." MATEC Web of Conferences 175 (2018): 02011. http://dx.doi.org/10.1051/matecconf/201817502011.

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The three-dimensional (3D) radar can detect 3D information of air targets, including range, azimuth and height. It is considered as an important equipment of the air defense detection system in various countries. The precision of target height measurement is the key challenge in radar detection due to the influences of the complex background environment of air targets. This paper considers the background knowledge during target detection. By using the background knowledge of radar position meteorological parameters and multi-dimensional radar position RAG maps etc., this paper proposes an inte
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Kabakchiev, Hristo, Ivan Garvanov, Vera Behar, et al. "Multi-Channel Target Shadow Detection in GPS FSR." Cybernetics and Information Technologies 19, no. 1 (2019): 116–32. http://dx.doi.org/10.2478/cait-2019-0007.

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Abstract The paper offers new application of a Multi-channel Forward Scatter Radar (MFSR), which uses GPS signals for detection of air targets on their GPS radio shadows. The multi-channel GPS MFSR detector consists of several channels, which process information from several satellites simultaneously. The phenomena of diffraction in the near area is used for shadow target detection. The target is considered to be detected, if it is detected at least in one of detector channels. Two experiments have been made to verify the proposed detection algorithm. The results obtained show that the propose
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Dissertations / Theses on the topic "Air-target detection"

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DeFranco, Patrick. "Detecting and Tracking Moving Objects from a Small Unmanned Air Vehicle." BYU ScholarsArchive, 2015. https://scholarsarchive.byu.edu/etd/5311.

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As the market for unmanned air vehicles (UAVs) rapidly expands, the need for algorithmsthat improve the capabilities of those vehicles is also growing. One valuable capability for UAVsis that of persistent tracking—the ability to find and track another moving object, usually on theground, from an aerial platform. This thesis presents a method for tracking multiple ground targetsfrom an airborne camera. Moving objects on the ground are detected by using frame-to-frameregistration. The detected objects are then tracked using the newly developed recursive RANSACalgorithm. Much video tracking work
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Chen, Chih-Yu, and 陳治宇. "5D Target Trajectory Detection via Intelligent Monocular Visual Tracking System in Real-Time with Air-Target Orientation Recognition." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/98222126085605082866.

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碩士<br>國立臺灣大學<br>電機工程學系研究所<br>86<br>In this thesis, a night-and-day operational monocular visual tracking system (VTS) for a gun turret system is proposed. Its functions include detection and tracking an air-target in realistic noisy environment as well as automatic aim ing of the turret gun at the target. For detection purpose, several existing de tection methods such as the motion-energy method, the template location method, and the gradient edge detector are briefly reviewed and compared. To be practi
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FALCONI, MARTA TECLA. "Remote sensing and electromagnetic modeling applied to weather and forward scatter radar." Doctoral thesis, 2018. http://hdl.handle.net/11573/1080160.

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This dissertation deals with electromagnetic modelling and data analysis, related to radar remote sensing and applied to forward scatter and meteorological polarimetric systems. After an overview of radar fundamentals to introduce the general terminology and concepts, results are presented at the end of each chapter. In this respect, a generalized electromagnetic model is first presented in order to predict the response of forward scatter radars (FSRs) for airtarget surveillance applications in both near-field and far-field regions. The model is discussed for increasing levels of compl
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Book chapters on the topic "Air-target detection"

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"Aircraft Target Detection in Remote Sensing Images towards Air-to-Ground Dynamic Imaging." In Current Trends in Computer Science and Mechanical Automation Vol.1. De Gruyter Open Poland, 2017. http://dx.doi.org/10.1515/9783110584974-062.

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Bolse, Nico, Anne Habermehl, Carsten Eschenbaum, and Uli Lemmer. "Fluorescence Quenching Sensor Arrays for the Discrimination of Nitroaromatic Vapors." In Electronic Nose Technologies and Advances in Machine Olfaction. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3862-2.ch004.

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Fluorescence quenching is a promising technique for chemical sensing applications such as the detection of explosive trace vapors. Nitroaromatic explosives are one of the primary targets for this approach enabling ultra-low detection limits down to sub parts-per-billion in air. Many studies, however, focus on enhanced sensor sensitivity, whereas practical applications often require the identification and quantification of detected species. Electronic noses and efficient sensor systems are a promising solution to address this challenge. The authors review recent approaches and trends for explos
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Xu, Hao, Linyong Wu, Chunlin Li, Gang Xu, and Jue Hu. "Radar State Cognition and Clutter Suppression Method Based on Naive Bayes Learning." In Advances in Transdisciplinary Engineering. IOS Press, 2023. http://dx.doi.org/10.3233/atde230968.

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As the operation environment is increasingly complex, air defense radar is affected by various kinds of clutter, including ground clutter, meteorological clutter, etc. Ground clutter is a type of fixed clutter and can be effectively removed through filters such as MTI. While meteorological clutter usually exists in a complex and diverse motion state, which is difficult to be suppressed, and a large amount of meteorological clutter interference may lead to plots saturation and more false track on radar, thereby affecting the efficiency of radar target detection and accurate tracking. To address
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Piaggio, Antoinette J. "Environmental DNA for conservation." In Conservation Technology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198850243.003.0008.

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Detection and monitoring of wildlife species of concern is a costly and time-consuming challenge that is critical to the management of such species. Tools such as lures and traps can cause unnecessary stress or other health impacts to sensitive species. Development and refinement of tools that provide means to detect rare and elusive species without requiring contact with them reduce such impacts. Further, the potential of detection after the target species has moved on from a sampling site could allow for higher potential for detection of rare species. The ability to amplify DNA from environm
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T., Kalaichelvi, and Ravi S. "Dynamic PCA-based Spatial Analysis for Accurate Localization of Multiple Landmines in GPR B-Scan Images." In International Conference in Emerging Trends in Computer Science. Scientific Explore Publications, 2025. https://doi.org/10.34293/icetcs2024.ch008.

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Ground Penetrating Radar is a non-destructive technique used to locate buried utilities by examining the reflected signals from the underground that mainly depend on the contrast of the material. Clutters such as antenna crosstalk, air-ground interface, reflections from other subsurface materials, and noise hinder accurate landmine detection in GPR B-scan images. Various clutter removal techniques have been developed to identify and localize the buried objects, which distort the target signals and hinder accurate localization. After evaluating the merits and demerits of various PCA combination
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LACOMME, PHILIPPE, JEAN-PHILIPPE HARDANGE, JEAN-CLAUDE MARCHAIS, and ERIC NORMANT. "GROUND TARGET DETECTION AND TRACKING." In Air and Spaceborne Radar Systems. Elsevier, 2001. http://dx.doi.org/10.1016/b978-189112113-5.50012-7.

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LACOMME, PHILIPPE, JEAN-PHILIPPE HARDANGE, JEAN-CLAUDE MARCHAIS, and ERIC NORMANT. "MARITIME TARGET DETECTION AND TRACKING." In Air and Spaceborne Radar Systems. Elsevier, 2001. http://dx.doi.org/10.1016/b978-189112113-5.50013-9.

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Zhang, Jiangtao, Baohua Li, Ying Qin, Dan Yan, Yali Zhang, and You Liu. "Application of the YOLOv8x Model in Visual Stem Detection During Cigarette Production." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2024. https://doi.org/10.3233/faia241444.

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The rapid separation of tobacco shreds and stems is a critical stage in the cigarette production process. Compared to traditional mechanical separation devices, machine vision technology combined with deep learning models offers advantages in accuracy, adaptability, and flexibility for automated air separation equipment. However, intelligent separation mechanisms based on machine vision also face operational challenges, including imbalanced training sample distribution, motion artifacts in targets, difficulty in sample annotation, and the small size of tobacco shreds and stems, which makes fea
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LACOMME, PHILIPPE, JEAN-PHILIPPE HARDANGE, JEAN-CLAUDE MARCHAIS, and ERIC NORMANT. "Introduction to TARGET DETECTION AND TRACKING." In Air and Spaceborne Radar Systems. Elsevier, 2001. http://dx.doi.org/10.1016/b978-1-891121-13-5.50040-1.

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Ghosh, Sukanya, and Lintu Rajan. "II-VI Semiconductor-based Thin-Film Transistor Sensor for Room Temperature Hydrogen Detection From Idea to Product Development." In Nanoelectronics Devices: Design, Materials, and Applications (Part I). BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815136623123010010.

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Implementing gas sensors incorporating nanoelectronic devices to detect pollution and improve the safety control of industrial, medical, and domestic sectors has opened up a novel world with immense interest. As a promising renewable energy carrier and a potential replacement for fossil fuels, there is the paramount importance of hydrogen gas storage at extensive facilities worldwide. The sustainable production of hydrogen is increasing owing to its enormous energy per mass of any fuel. Nevertheless, due to its extreme flammability, simple and highly accurate sensors with promising sensing mat
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Conference papers on the topic "Air-target detection"

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Zheng, Yuqing, Xiaofeng Ai, Jing Wu, Zhiming Xu, and Feng Zhao. "Air target detection coverage performance analysis and station deployment optimization of FSR based on GNSS." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868739.

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Liu, Wei, Minghui Bao, Xinxi Yu, and Yong Li. "Design and Calibration of the Wide-Band Three-Component Air-Core Coil Sensor for Shallow Target Detection." In 2024 IEEE 2nd International Conference on Sensors, Electronics and Computer Engineering (ICSECE). IEEE, 2024. http://dx.doi.org/10.1109/icsece61636.2024.10729429.

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Ying, Jia-ju, Zai-xing Ma, Jia-le Zhao, and Lei Deng. "Research on air target recognition method based on deep learning." In Imaging Detection and Target Recognition, edited by Jiangtao Xu and Chao Zuo. SPIE, 2024. http://dx.doi.org/10.1117/12.3016424.

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Kabakchiev, C., V. Behar, I. Garvanov, et al. "Air target detection using pulsar FSR." In 2017 18th International Radar Symposium (IRS). IEEE, 2017. http://dx.doi.org/10.23919/irs.2017.8008187.

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Kabakchiev, Hristo, Vera Behar, Ivan Garvanov, Dorina Kabakchieva, Magdalena Garvanova, and Herman Rohling. "Air Target Detection in Pulsar FSR System." In 2018 Engineering and Telecommunication (EnT-MIPT). IEEE, 2018. http://dx.doi.org/10.1109/ent-mipt.2018.00031.

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Yang, Ming, Guodong Ning, Songyan Wang, Tao Chao, and xue kong. "A trajectory design method via target practice for air-breathing hypersonic vehicle." In LIDAR Imaging Detection and Target Recognition 2017, edited by Yueguang Lv, Jianzhong Su, Wei Gong, et al. SPIE, 2017. http://dx.doi.org/10.1117/12.2291985.

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Garvanov, Ivan, Christo Kabakchiev, Vera Behar, and Panayot Daskalov. "Air target detection with a GPS forward-scattering radar." In 2016 19th International Symposium on Electrical Apparatus and Technologies (SIELA). IEEE, 2016. http://dx.doi.org/10.1109/siela.2016.7543000.

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Guo, Li, Haisong Ang, and Xiangming Zheng. "Ground moving target geo-location from monocular camera mounted on a micro air vehicle." In International Symposium on Photoelectronic Detection and Imaging 2011. SPIE, 2011. http://dx.doi.org/10.1117/12.900106.

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HE, JUN-YU, Guo-Dong Ning, Xiao-Feng Wang, Ke-Nan Zhang, and Jiang-Hua Wang. "Trajectory tracking of high speed maneuvering target in air by composite particle filter." In Ninth Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA2022), edited by Wenqing Liu, Hongxing Xu, and Junhao Chu. SPIE, 2023. http://dx.doi.org/10.1117/12.2664612.

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Wei, Qu, Jia Xin, and Wu Yan-hong. "A Study Of Air Target Detection Base On Signal Disturbance." In 2006 7th International Symposium on Antennas, Propagation & EM Theory. IEEE, 2006. http://dx.doi.org/10.1109/isape.2006.353248.

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Reports on the topic "Air-target detection"

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Koziel, Jacek, Yael Laor, Jeffrey Zimmerman, Robert Armon, Steven Hoff, and Uzi Ravid. Simultaneous Treatment of Odorants and Pathogens Emitted from Confined Animal Feeding Operations (CAFOs) by Advanced Oxidation Technologies. United States Department of Agriculture, 2009. http://dx.doi.org/10.32747/2009.7592646.bard.

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A feasibility study was conducted, aiming to explore the potential effectiveness of UV/TiO2/O3 photooxidation technologies for simultaneous treatment of odorant and pathogen emissions from livestock and poultry operations. Several key parameters were tested in laboratory (US) and semi-pilot (Israel) scale conditions including: the effects of light energy dose (treatment time and light intensity), relative humidity and air temperature, UV wavelength, presence of photocatalyst (TiO2) and the presence of ozone. Removal and conversion of odor, target gases (sulfur-containing volatile organic compo
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Casper, Gary, Stefanie Nadeau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Pictured Rocks National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/2295509.

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Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Pictured Rocks National Lakeshore (PIRO). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at PIRO in 2013. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampli
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