Zeitschriftenartikel zum Thema „Surface anomaly detection“
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Schwenk, J. Tyler, Steven D. Sloan, Julian Ivanov und Richard D. Miller. „Surface-wave methods for anomaly detection“. GEOPHYSICS 81, Nr. 4 (Juli 2016): EN29—EN42. http://dx.doi.org/10.1190/geo2015-0356.1.
Putri, A. R. D., P. Sidiropoulos und J. P. Muller. „ANOMALY DETECTION PERFORMANCE COMPARISON ON ANOMALY-DETECTION BASED CHANGE DETECTION ON MARTIAN IMAGE PAIRS“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (05.06.2019): 1437–41. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1437-2019.
Stolz, Bernadette J., Jared Tanner, Heather A. Harrington und Vidit Nanda. „Geometric anomaly detection in data“. Proceedings of the National Academy of Sciences 117, Nr. 33 (03.08.2020): 19664–69. http://dx.doi.org/10.1073/pnas.2001741117.
Tsai, Du-Ming, und Po-Hao Jen. „Autoencoder-based anomaly detection for surface defect inspection“. Advanced Engineering Informatics 48 (April 2021): 101272. http://dx.doi.org/10.1016/j.aei.2021.101272.
Sattar, Shahram, Songnian Li und Michael Chapman. „Road Surface Monitoring Using Smartphone Sensors: A Review“. Sensors 18, Nr. 11 (09.11.2018): 3845. http://dx.doi.org/10.3390/s18113845.
Liu, Gaokai, Ning Yang und Lei Guo. „An Attention-Based Network for Textured Surface Anomaly Detection“. Applied Sciences 10, Nr. 18 (08.09.2020): 6215. http://dx.doi.org/10.3390/app10186215.
Rasul, Azad, und Luqman W. Omar. „Land Surface Temperature Anomalies Detection for the Strong Earthquakes in 2018“. ARO-THE SCIENTIFIC JOURNAL OF KOYA UNIVERSITY 8, Nr. 2 (01.09.2020): 15–21. http://dx.doi.org/10.14500/aro.10591.
Ouyang Haoyi, 欧阳浩艺, 陈婉钧 Chen Wanjun, 李海 Li Hai und 杨初平 Yang Chuping. „平整表面反射率异常的单像素检测理论“. Laser & Optoelectronics Progress 58, Nr. 12 (2021): 1212003. http://dx.doi.org/10.3788/lop202158.1212003.
Wong, Ze-Hao, C. M. Thong, W. M. Edmund Loh und C. J. Wong. „Surface Defect Detection using Novel Histogram Distance-based Multiple Template Anomalies Detection Algorithm“. International Journal of Engineering & Technology 7, Nr. 4.14 (24.12.2019): 401. http://dx.doi.org/10.14419/ijet.v7i4.14.27693.
Nazir, Sajid, Shushma Patel und Dilip Patel. „Autoencoder Based Anomaly Detection for SCADA Networks“. International Journal of Artificial Intelligence and Machine Learning 11, Nr. 2 (Juli 2021): 83–99. http://dx.doi.org/10.4018/ijaiml.20210701.oa6.
Staar, Benjamin, Michael Lütjen und Michael Freitag. „Anomaly detection with convolutional neural networks for industrial surface inspection“. Procedia CIRP 79 (2019): 484–89. http://dx.doi.org/10.1016/j.procir.2019.02.123.
Ono, Y., A. Tsuji, J. Abe, H. Noguchi und J. Abe. „ROBUST DETECTION OF SURFACE ANOMALY USING LIDAR POINT CLOUD WITH INTENSITY“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14.08.2020): 1129–36. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1129-2020.
Jiao, Zhong-Hu, Jing Zhao und Xinjian Shan. „Pre-seismic anomalies from optical satellite observations: a review“. Natural Hazards and Earth System Sciences 18, Nr. 4 (04.04.2018): 1013–36. http://dx.doi.org/10.5194/nhess-18-1013-2018.
Tian, Hongzhi, Dongxing Wang, Jiangang Lin, Qilin Chen und Zhaocai Liu. „Surface Defects Detection of Stamping and Grinding Flat Parts Based on Machine Vision“. Sensors 20, Nr. 16 (13.08.2020): 4531. http://dx.doi.org/10.3390/s20164531.
Sattar, Shahram, Songnian Li und Michael Chapman. „Developing a near real-time road surface anomaly detection approach for road surface monitoring“. Measurement 185 (November 2021): 109990. http://dx.doi.org/10.1016/j.measurement.2021.109990.
Zhang, J., J. Jung, G. Sohn und M. Cohen. „THERMAL INFRARED INSPECTION OF ROOF INSULATION USING UNMANNED AERIAL VEHICLES“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1/W4 (27.08.2015): 381–86. http://dx.doi.org/10.5194/isprsarchives-xl-1-w4-381-2015.
Liu, Jie, Kechen Song, Mingzheng Feng, Yunhui Yan, Zhibiao Tu und Liu Zhu. „Semi-supervised anomaly detection with dual prototypes autoencoder for industrial surface inspection“. Optics and Lasers in Engineering 136 (Januar 2021): 106324. http://dx.doi.org/10.1016/j.optlaseng.2020.106324.
Liu, Gaokai, Ning Yang, Lei Guo, Shiping Guo und Zhi Chen. „A One-Stage Approach for Surface Anomaly Detection with Background Suppression Strategies“. Sensors 20, Nr. 7 (25.03.2020): 1829. http://dx.doi.org/10.3390/s20071829.
Guo, Zi-Xun, und Peng-Lang Shui. „Anomaly Based Sea-Surface Small Target Detection Using K-Nearest Neighbor Classification“. IEEE Transactions on Aerospace and Electronic Systems 56, Nr. 6 (Dezember 2020): 4947–64. http://dx.doi.org/10.1109/taes.2020.3011868.
Apostol, Ioana, Marius Preda, Constantin Nila und Ion Bica. „IoT Botnet Anomaly Detection Using Unsupervised Deep Learning“. Electronics 10, Nr. 16 (04.08.2021): 1876. http://dx.doi.org/10.3390/electronics10161876.
Park, YeongHyeon, und Il Yun. „Fast Adaptive RNN Encoder–Decoder for Anomaly Detection in SMD Assembly Machine“. Sensors 18, Nr. 10 (22.10.2018): 3573. http://dx.doi.org/10.3390/s18103573.
Simpson, C. J., J. R. Wilford, L. F. Macias und R. J. Korsch. „SATELLITE DETECTION OF NATURAL HYDROCARBON SEEPAGE: PALM VALLEY GAS FIELD, AMADEUS BASIN, CENTRAL AUSTRALIA“. APPEA Journal 29, Nr. 1 (1989): 196. http://dx.doi.org/10.1071/aj88019.
Patel, Darsh, Kathiravan Srinivasan, Chuan-Yu Chang, Takshi Gupta und Aman Kataria. „Network Anomaly Detection inside Consumer Networks—A Hybrid Approach“. Electronics 9, Nr. 6 (01.06.2020): 923. http://dx.doi.org/10.3390/electronics9060923.
Saradjian, M. R., und M. Akhoondzadeh. „Thermal anomalies detection before strong earthquakes (<i>M</i> > 6.0) using interquartile, wavelet and Kalman filter methods“. Natural Hazards and Earth System Sciences 11, Nr. 4 (12.04.2011): 1099–108. http://dx.doi.org/10.5194/nhess-11-1099-2011.
Wongpornchai, Pisanu, und Chanida Suwanprasit. „Thermal Anomalies Detection Using Comparative Method for Small Earthquake“. MATEC Web of Conferences 186 (2018): 01008. http://dx.doi.org/10.1051/matecconf/201818601008.
Parinussa, R. M., T. R. H. Holmes und W. T. Crow. „The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations“. Hydrology and Earth System Sciences Discussions 8, Nr. 4 (11.07.2011): 6683–719. http://dx.doi.org/10.5194/hessd-8-6683-2011.
Parinussa, R. M., T. R. H. Holmes, M. T. Yilmaz und W. T. Crow. „The impact of land surface temperature on soil moisture anomaly detection from passive microwave observations“. Hydrology and Earth System Sciences 15, Nr. 10 (17.10.2011): 3135–51. http://dx.doi.org/10.5194/hess-15-3135-2011.
Burkard, E., D. Bulatov und B. Kottler. „TOWARDS DETECTION OF THERMAL ANOMALIES IN LARGE URBAN AREAS USING SIMULATION“. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (14.08.2020): 1195–202. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-1195-2020.
Liu, Jie, Peng Wang, Dexun Jiang, Jun Nan und Weiyu Zhu. „An integrated data-driven framework for surface water quality anomaly detection and early warning“. Journal of Cleaner Production 251 (April 2020): 119145. http://dx.doi.org/10.1016/j.jclepro.2019.119145.
Flach, Milan, Fabian Gans, Alexander Brenning, Joachim Denzler, Markus Reichstein, Erik Rodner, Sebastian Bathiany et al. „Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques“. Earth System Dynamics 8, Nr. 3 (08.08.2017): 677–96. http://dx.doi.org/10.5194/esd-8-677-2017.
Abdelazeem, Maha, und Mohamed M. Gobashy. „A solution to unexploded ordnance detection problem from its magnetic anomaly using Kaczmarz regularization“. Interpretation 4, Nr. 3 (01.08.2016): SH61—SH69. http://dx.doi.org/10.1190/int-2016-0001.1.
Wang, Nan, Bo Li, Qizhi Xu und Yonghua Wang. „Automatic Ship Detection in Optical Remote Sensing Images Based on Anomaly Detection and SPP-PCANet“. Remote Sensing 11, Nr. 1 (29.12.2018): 47. http://dx.doi.org/10.3390/rs11010047.
Kadam, Vaibhav, Satish Kumar, Arunkumar Bongale, Seema Wazarkar, Pooja Kamat und Shruti Patil. „Enhancing Surface Fault Detection Using Machine Learning for 3D Printed Products“. Applied System Innovation 4, Nr. 2 (14.05.2021): 34. http://dx.doi.org/10.3390/asi4020034.
Yi, J., Y. Du, Z. He und C. Zhou. „Enhancing the accuracy of automatic eddy detection and the capability of recognizing the multi-core structures from maps of sea level anomaly“. Ocean Science Discussions 10, Nr. 2 (29.04.2013): 825–51. http://dx.doi.org/10.5194/osd-10-825-2013.
Li, Huo, Goldberg, Chu, Yin und Hammond. „Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection“. ISPRS International Journal of Geo-Information 8, Nr. 9 (13.09.2019): 412. http://dx.doi.org/10.3390/ijgi8090412.
Yi, J., Y. Du, Z. He und C. Zhou. „Enhancing the accuracy of automatic eddy detection and the capability of recognizing the multi-core structures from maps of sea level anomaly“. Ocean Science 10, Nr. 1 (10.02.2014): 39–48. http://dx.doi.org/10.5194/os-10-39-2014.
Sledz, A., und C. Heipke. „THERMAL ANOMALY DETECTION BASED ON SALIENCY ANALYSIS FROM MULTIMODAL IMAGING SOURCES“. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2021 (17.06.2021): 55–64. http://dx.doi.org/10.5194/isprs-annals-v-1-2021-55-2021.
Bellaoui, Mebrouk, Abdelatif Hassini und Kada Bouchouicha. „Remote Sensed Land Surface Temperature Anomalies for Earthquake Prediction“. International Journal of Engineering Research in Africa 31 (Juli 2017): 120–34. http://dx.doi.org/10.4028/www.scientific.net/jera.31.120.
Pánisová, Jaroslava, und Roman Pašteka. „The use of microgravity technique in archaeology: A case study from the St. Nicolas Church in Pukanec, Slovakia“. Contributions to Geophysics and Geodesy 39, Nr. 3 (01.01.2009): 237–54. http://dx.doi.org/10.2478/v10126-009-0009-1.
Chou, Hsi-Chiang. „Concrete Object Anomaly Detection Using a Nondestructive Automatic Oscillating Impact-Echo Device“. Applied Sciences 9, Nr. 5 (04.03.2019): 904. http://dx.doi.org/10.3390/app9050904.
ONO, Hye-Sook Park, Tetsuzo YASUNARI, Riko OKI und Toshinori ODA. „Detection of the Urban Climatic Component Based on the Seasonal Variations of Surface Air Temperature Anomaly“. Geographical Review of Japa,. Ser. A, Chirigaku Hyoron 67, Nr. 8 (1994): 561–74. http://dx.doi.org/10.4157/grj1984a.67.8_561.
Thanh, Luong Duy, Nguyen Canh Thai, Nguyen Manh Hung, Nguyen Cong Thang und Luong Thi Thanh Huong. „SELF-POTENTIAL METHOD FOR DETECTION OF WATER LEAKAGE THROUGH DAMS“. Earth Science Malaysia 4, Nr. 2 (07.10.2020): 152–55. http://dx.doi.org/10.26480/esmy.02.2020.152.155.
Kabak, S. L., V. V. Zatochnaya, Yu M. Mel’nichenko, N. A. Savrasova und E. A. Dorokh. „FOSSA NAVICULARIS MAGNA AT THE SKULL BASE: EMBRYOGENESIS AND ITS DETECTION BY COMPUTED TOMOGRAPHY“. Journal of radiology and nuclear medicine 99, Nr. 3 (27.07.2018): 153–57. http://dx.doi.org/10.20862/0042-4676-2018-99-3-153-157.
Roberts, Steven Andrew. „A Shape‐Based Local Spatial Association Measure (LISShA): A Case Study in Maritime Anomaly Detection“. Geographical Analysis 51, Nr. 4 (19.11.2018): 403–25. http://dx.doi.org/10.1111/gean.12178.
Nakatsuka, Tadashi, Mitsuru Utsugi, Shigeo Okuma, Yoshikazu Tanaka und Takeshi Hashimoto. „Detection of aeromagnetic anomaly change associated with volcanic activity: An application of the generalized mis-tie control method“. Tectonophysics 478, Nr. 1-2 (November 2009): 3–18. http://dx.doi.org/10.1016/j.tecto.2009.02.018.
Kim, Tae-Ho, und Chan-Su Yang. „Preliminary Study on Detection of Marine Heat Waves using Satellite-based Sea Surface Temperature Anomaly in 2017-2018“. Journal of the Korean Society of Marine Environment and Safety 25, Nr. 6 (31.10.2019): 678–86. http://dx.doi.org/10.7837/kosomes.2019.25.6.678.
Chen, Chi-Farn. „Extraction of oil slicks on the sea surface from optical satellite images by using an anomaly detection technique“. Journal of Applied Remote Sensing 4, Nr. 1 (01.12.2010): 043565. http://dx.doi.org/10.1117/1.3529942.
Mariana S., Rini, Ibnu Athoillah, Rahmawati Syahdiza, Erwin Mulyana, Findy Renggono, Tri Handoko S., Jon Arifian, Budi Harsoyo, Edvin Aldrian und Yunus Subagyo S. „Detection of dry season anomaly using radiosonde data during intensive observation period (IOP) in 2017“. MATEC Web of Conferences 229 (2018): 02008. http://dx.doi.org/10.1051/matecconf/201822902008.
Ochadlick, Andrew R. „Magnetic exploration of ocean crust for craters of impact origin: Model results“. GEOPHYSICS 56, Nr. 8 (August 1991): 1153–57. http://dx.doi.org/10.1190/1.1443134.
Marlton, G. J., P. D. Williams und K. A. Nicoll. „On the detection and attribution of gravity waves generated by the 20 March 2015 solar eclipse“. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374, Nr. 2077 (28.09.2016): 20150222. http://dx.doi.org/10.1098/rsta.2015.0222.