Academic literature on the topic 'Moving debris detection'

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Journal articles on the topic "Moving debris detection"

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Tao, Jiang, Yunfeng Cao, and Meng Ding. "SDebrisNet: A Spatial–Temporal Saliency Network for Space Debris Detection." Applied Sciences 13, no. 8 (2023): 4955. http://dx.doi.org/10.3390/app13084955.

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The rapidly growing number of space activities is generating numerous space debris, which greatly threatens the safety of space operations. Therefore, space-based space debris surveillance is crucial for the early avoidance of spacecraft emergencies. With the progress in computer vision technology, space debris detection using optical sensors has become a promising solution. However, detecting space debris at far ranges is challenging due to its limited imaging size and unknown movement characteristics. In this paper, we propose a space debris saliency detection algorithm called SDebrisNet. Th
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Zhang, Bo, ShaoMing Hu, Junju Du, et al. "Detecting Moving Objects in Photometric Images Using 3D Hough Transform." Publications of the Astronomical Society of the Pacific 136, no. 5 (2024): 054502. http://dx.doi.org/10.1088/1538-3873/ad481f.

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Abstract In response to the exponential growth of space debris, an increasing number of observation devices are being used for the observation of moving objects, such as space debris and asteroids, which require further improvements in data-processing capabilities for the detection of moving objects. In this study, we propose a rapid detection algorithm designed for detecting moving objects, leveraging the power of the 3D Hough transform. By the simulated image experiments, our results show that the detection rate increases with the number of continuous images when fully extracting objects. Ba
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Itoh, Takahiro, Tadaaki Iwao, Seiki Kubo, et al. "Continuous debris flow monitoring using DFLP and LVP on Sakura-jima Island." E3S Web of Conferences 415 (2023): 03015. http://dx.doi.org/10.1051/e3sconf/202341503015.

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Since 2010, numerous debris flows have occurred on Sakura-jima Island due to rainfall events that occurred after extensive ash deposition associated with volcanic activity. The study area included the Nojiri and Arimura rivers in the southwestern and southeastern parts of Sakura-jima, respectively. Debris flow monitoring systems consisting of loadcell and pressure sensor (DFLP) were installed to evaluate characteristics of moving weight and so on during debris flows. The systems were installed at the Arimura River No. 3 sabo dam in June in 2012 and at the Nojiri River No. 1 sabo dam in 2014. I
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Yang, Xiaoqi, Kai Huo, Xinyu Zhang, Weidong Jiang, and Yong Chen. "A Clutter-Analysis-Based STAP for Moving FOD Detection on Runways." Sensors 19, no. 3 (2019): 549. http://dx.doi.org/10.3390/s19030549.

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Security risks and economic losses of civil aviation caused by Foreign Object Debris (FOD) have increased rapidly. Synthetic Aperture Radars (SARs) with high resolutions potentially have the capability to detect FODs on the runways, but the target echo is hard to be distinguished from strong clutter. This paper proposes a clutter-analysis-based Space-time Adaptive Processing (STAP) method in order to obtain effective clutter suppression and moving FOD indication, under inhomogeneous clutter background. Specifically, we first divide the radar coverage into equal scattering cells in the rectangu
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Regmi, Sudhan, Ko-Fei Liu, and Shih-Chao Wei. "Experimental study of seismo-acoustic frequency and flow velocity of debris flow." E3S Web of Conferences 415 (2023): 03023. http://dx.doi.org/10.1051/e3sconf/202341503023.

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Seismo-acoustic wave radiated from debris flows motion is one of the main properties used for its monitoring and detection. Understanding the Seismo-acoustic wave using geophone recordings may give us great insight into the physical process of debris flows such as flow velocity and flow rate. To connect the seismo acoustic observation to the debris flows motion, vibration signal recorded from fixed geophones were analysed. In this study, a small-scale granular flow of volume 0.2 m3 consisting of material with average particle diameter 3.34 mm was simulated in a hydraulic flume with cross secti
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Elhakiem, A. A., T. S. Ghoniemy, and G. I. Salama. "Streak detection in astronomical images based on convolutional neural network." Journal of Physics: Conference Series 2616, no. 1 (2023): 012024. http://dx.doi.org/10.1088/1742-6596/2616/1/012024.

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Abstract Streak detection is important in space situational awareness and space asset protection. It is desirable to detect moving targets (e.g., satellites, space debris, or meteorites) in images of the sky. This paper presents a comparison between two astronomical frameworks for streak detection based on deep CNNs. The first framework uses the extended feature pyramid network (EFPN) with faster region-based CNNs (Faster R-CNN) and compares it with the second framework that uses the feature pyramid network (FPN) with Faster R-CNN. Because there aren’t enough publicly available astronomical da
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Bossi, G., M. Cavalli, S. Crema, et al. "Multi temporal LiDAR-DTMs as a tool for modelling a complex landslide: a case study in the Rotolon catchment (Eastern Italian Alps)." Natural Hazards and Earth System Sciences Discussions 2, no. 10 (2014): 6453–74. http://dx.doi.org/10.5194/nhessd-2-6453-2014.

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Abstract. The geomorphological change detection through the comparison of repeated topographic surveys is a recent approach that benefits greatly from the latest developments in topographical data acquisition techniques. Among them, airborne LiDAR makes the monitoring of geomorphological changes a more reliable and accurate approach for natural hazard and risk management. In this study, two LiDAR-DTMs (2 m resolution) were acquired just before and after a complex 340 000 m3 landslide event (4 November 2010) that generated a debris flow in the channel of the Rotolon catchment (Eastern Italian A
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Han, Yong, Desheng Wen, Jie Li, and Zhangchi Qiao. "Improved Detection of Multiple Faint Streak-like Space Targets from a Single Star Image." Remote Sensing 17, no. 4 (2025): 631. https://doi.org/10.3390/rs17040631.

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With the increasing number of human space activities, space surveillance systems need to be developed to reduce the risk of collisions between space assets and space debris. In this context, optical surveillance systems have gradually become a significant means of space surveillance due to their various advantages. Generally, the sidereal tracking mode is used to search for unknown moving targets, which appear as streaks in the star image generated by the optical surveillance system. Typical matched filtering can detect faint streak-like targets in star images, but it generates more false alar
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Bossi, G., M. Cavalli, S. Crema, et al. "Multi-temporal LiDAR-DTMs as a tool for modelling a complex landslide: a case study in the Rotolon catchment (eastern Italian Alps)." Natural Hazards and Earth System Sciences 15, no. 4 (2015): 715–22. http://dx.doi.org/10.5194/nhess-15-715-2015.

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Abstract. The geomorphological change detection through the comparison of repeated topographic surveys is a recent approach that benefits greatly from the latest developments in topographical data acquisition techniques. Among them, airborne LiDAR makes the monitoring of geomorphological changes a more reliable and accurate approach for natural hazard and risk management. In this study, two LiDAR digital terrain models (DTMs) (2 m resolution) were acquired just before and after a complex 340 000 m3 landslide event (4 November 2010) that generated a debris flow in the channel of the Rotolon cat
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Sissa, E., J. Olofsson, A. Vigan, et al. "New disk discovered with VLT/SPHERE around the M star GSC 07396−00759." Astronomy & Astrophysics 613 (May 2018): L6. http://dx.doi.org/10.1051/0004-6361/201832740.

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Debris disks are usually detected through the infrared excess over the photospheric level of their host star. The most favorable stars for disk detection are those with spectral types between A and K, while the statistics for debris disks detected around low-mass M-type stars is very low, either because they are rare or because they are more difficult to detect. Terrestrial planets, on the other hand, may be common around M-type stars. Here, we report on the discovery of an extended (likely) debris disk around the M-dwarf GSC 07396−00759. The star is a wide companion of the close accreting bin
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Dissertations / Theses on the topic "Moving debris detection"

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Panzardi, Enza. "Measurement systems for industrial plants condition monitoring." Doctoral thesis, Università di Siena, 2019. http://hdl.handle.net/11365/1072401.

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Negli ultimi decenni, il mercato mondiale dell’energia ha dovuto far fronte ad una richiesta di produzione sempre crescente e ad un costante mutamento del settore industriale, sempre più attento all’impatto ambientale e all’innovazione tecnologica. Oltre agli impianti per la produzione di energia da fonti rinnovabili, quelli a ciclo combinato o a cogenerazione basati su turbine a gas sono i più diffusi, in quanto garantiscono maggiore rendimento e minori emissioni, a parità di energia prodotta rispetto agli altri impianti a combustione disponibili nel settore. Inoltre, offrono una maggiore
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Book chapters on the topic "Moving debris detection"

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Huntley, David, Peter Bobrowsky, Roger MacLeod, et al. "IPL Project 202: Landslide Monitoring Best Practices for Climate-Resilient Railway Transportation Corridors in Southwestern British Columbia, Canada." In Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_18.

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AbstractThe paper outlines landslide mapping and change-detection monitoring protocols based on the successes of ICL-IPL Project 202 in southwestern British Columbia, Canada. In this region, ice sheets, glaciers, permafrost, rivers and oceans, high relief, and biogeoclimatic characteristics contribute to produce distinctive landslide assemblages. Bedrock and drift-covered slopes along the transportation corridors are prone to mass-wasting when favourable conditions exist. In high-relief mountainous areas, rapidly moving landslides include rock and debris avalanches, rock and debris falls, debr
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Conference papers on the topic "Moving debris detection"

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Lin, Ruiqi, Weiming Tian, Youwang Chen, Delin Fang, Ningyuan Chang, and Yunkai Deng. "A Nonlinear Clutter Map Detector for Rockfall Detection under Moving Debris and Dust Clutter." In 2024 IEEE International Conference on Signal, Information and Data Processing (ICSIDP). IEEE, 2024. https://doi.org/10.1109/icsidp62679.2024.10868623.

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Pranav, S., Sarath Kumar S, Sneha Biju, Limin Monachan, Jofin Joy, and B. Boby. "An Integrated System for Monitoring & Control of Solar Panel using IoT & Machine Learning." In 2nd International Conference on Modern Trends in Engineering Technology and Management. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.160.53.

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The proper monitoring and control of solar panels using IoT and machine learning are discussed in this paper. The use of green energy sources like solar power is expanding due to rising electricity costs and worries about the impact of fossil fuels on the environment. But the static position of the solar panel, improper cleaning system & undetected faults may widely affect the total output generated from the solar panel. The efficiency of an array's energy generation is greatly diminished by the buildup of dust and debris on even an individual panel, emphasizing the necessity of keeping th
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van Wijhe, Andries, Lennert Buijs, Leszek Stachyra, and Olivier Macchion. "Measurements of Low Frequency Vibration in Subsea Piping Using ROV Video Analysis." In ASME 2020 39th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/omae2020-18579.

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Abstract Vibrations in Subsea Production Systems are well recognized as a concern in the subsea industry. To identify the severity of the vibrations and potential accumulated fatigue damage, subsea vibrations need to be measured with great accuracy. Currently, accurate detection and subsea measurements are often performed by utilizing accelerometers, which have to be connected to the structure by ROV or a diver. ROV video analysis provides an alternative solution. Video analyses are widely utilized across different applications. With the increased quality of a HD camera on ROV, the accessibili
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Reports on the topic "Moving debris detection"

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Huntley, D., D. Rotheram-Clarke, R. Cocking, J. Joseph, and P. Bobrowsky. Current research on slow-moving landslides in the Thompson River valley, British Columbia (IMOU 5170 annual report). Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331175.

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Interdepartmental Memorandum of Understanding (IMOU) 5170 between Natural Resources Canada (NRCAN), the Geological Survey of Canada (GSC) and Transport Canada Innovation Centre (TC-IC) aims to gain new insight into slow-moving landslides, and the influence of climate change, through testing conventional and emerging monitoring technologies. IMOU 5107 focuses on strategically important sections of the national railway network in the Thompson River valley, British Columbia (BC), and the Assiniboine River valley along the borders of Manitoba (MN) and Saskatchewan (SK). Results of this research ar
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