Статті в журналах з теми "Underwater object detection"
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Shen, Jie, Zhenxin Xu, Zhe Chen, Huibin Wang, and Xiaotao Shi. "Optical Prior-Based Underwater Object Detection with Active Imaging." Complexity 2021 (April 27, 2021): 1–12. http://dx.doi.org/10.1155/2021/6656166.
Повний текст джерелаV, Karthikeyan. "Underwater Object Detection." International Journal for Research in Applied Science and Engineering Technology 8, no. 5 (May 31, 2020): 2091–95. http://dx.doi.org/10.22214/ijraset.2020.5344.
Повний текст джерелаMaccabee, Bruce S. "Underwater object detection system." Journal of the Acoustical Society of America 91, no. 5 (May 1992): 3081. http://dx.doi.org/10.1121/1.402901.
Повний текст джерелаMahavarkar, Avinash, Ritika Kadwadkar, Sneha Maurya, and Smitha Raveendran. "Underwater Object Detection using Tensorflow." ITM Web of Conferences 32 (2020): 03037. http://dx.doi.org/10.1051/itmconf/20203203037.
Повний текст джерелаZhang, Yangmei. "Application of Smart Sensor in Underwater Weak Object Detection and Positioning." Wireless Communications and Mobile Computing 2021 (December 23, 2021): 1–16. http://dx.doi.org/10.1155/2021/5791567.
Повний текст джерелаZHANG, Yan, Xingshan LI, Yemei SUN, and Shudong LIU. "Underwater object detection algorithm based on channel attention and feature fusion." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 2 (April 2022): 433–41. http://dx.doi.org/10.1051/jnwpu/20224020433.
Повний текст джерелаShen, Jie, Tanghuai Fan, Min Tang, Qian Zhang, Zhen Sun, and Fengchen Huang. "A Biological Hierarchical Model Based Underwater Moving Object Detection." Computational and Mathematical Methods in Medicine 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/609801.
Повний текст джерелаKarimanzira, Divas, Helge Renkewitz, David Shea, and Jan Albiez. "Object Detection in Sonar Images." Electronics 9, no. 7 (July 21, 2020): 1180. http://dx.doi.org/10.3390/electronics9071180.
Повний текст джерелаWang, Jinkang, Xiaohui He, Faming Shao, Guanlin Lu, Qunyan Jiang, Ruizhe Hu, and Jinxin Li. "A Novel Attention-Based Lightweight Network for Multiscale Object Detection in Underwater Images." Journal of Sensors 2022 (September 7, 2022): 1–14. http://dx.doi.org/10.1155/2022/2582687.
Повний текст джерелаWulandari, Nurcahyani, Igi Ardiyanto, and Hanung Adi Nugroho. "A Comparison of Deep Learning Approach for Underwater Object Detection." Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 6, no. 2 (April 20, 2022): 252–58. http://dx.doi.org/10.29207/resti.v6i2.3931.
Повний текст джерелаGadzhiev, А. А., R. А. Eminov, and Kh G. Asadov. "Solution to the problem of minimum distance detection of various objects in shallow water depth." Transactions of the Krylov State Research Centre 2, no. 400 (May 16, 2022): 147–52. http://dx.doi.org/10.24937/2542-2324-2022-2-400-147-152.
Повний текст джерелаZavyalov, A., and Yu Patrakov. "Universal assessment method for laser detection probability of sunken engineering structures." Transactions of the Krylov State Research Centre 1, no. 399 (March 15, 2022): 176–88. http://dx.doi.org/10.24937/2542-2324-2022-1-399-176-188.
Повний текст джерелаHan, Fenglei, Jingzheng Yao, Haitao Zhu, and Chunhui Wang. "Underwater Image Processing and Object Detection Based on Deep CNN Method." Journal of Sensors 2020 (May 22, 2020): 1–20. http://dx.doi.org/10.1155/2020/6707328.
Повний текст джерелаWang, Zhixin, Peng Xu, Bohan Liu, Yankun Cao, Zhi Liu, and Zhaojun Liu. "Hyperspectral imaging for underwater object detection." Sensor Review 41, no. 2 (April 5, 2021): 176–91. http://dx.doi.org/10.1108/sr-07-2020-0165.
Повний текст джерелаChen, Zhe, Zhen Zhang, Fengzhao Dai, Yang Bu, and Huibin Wang. "Monocular Vision-Based Underwater Object Detection." Sensors 17, no. 8 (August 3, 2017): 1784. http://dx.doi.org/10.3390/s17081784.
Повний текст джерелаNersesov, B. A. "METHODS OF PROBABILISTIC PERFORMANCE EVALUATION MARINE MAGNETOMETRY." Journal of Oceanological Research 47, no. 4 (December 2, 2019): 152–60. http://dx.doi.org/10.29006/1564-2291.jor-2019.47(4).10.
Повний текст джерелаZhao, Shijia, Jiachun Zheng, Shidan Sun, and Lei Zhang. "An Improved YOLO Algorithm for Fast and Accurate Underwater Object Detection." Symmetry 14, no. 8 (August 11, 2022): 1669. http://dx.doi.org/10.3390/sym14081669.
Повний текст джерелаJia, Jiaqi, Min Fu, Xuefeng Liu, and Bing Zheng. "Underwater Object Detection Based on Improved EfficientDet." Remote Sensing 14, no. 18 (September 8, 2022): 4487. http://dx.doi.org/10.3390/rs14184487.
Повний текст джерелаXiao, Taowen, Zijian Cai, Cong Lin, and Qiong Chen. "A Shadow Capture Deep Neural Network for Underwater Forward-Looking Sonar Image Detection." Mobile Information Systems 2021 (December 30, 2021): 1–10. http://dx.doi.org/10.1155/2021/3168464.
Повний текст джерелаWeng, Li Yuan, Min Li, and Zhen Bang Gong. "On Sonar Image Processing Techniques for Detection and Localization of Underwater Objects." Applied Mechanics and Materials 236-237 (November 2012): 509–14. http://dx.doi.org/10.4028/www.scientific.net/amm.236-237.509.
Повний текст джерелаZhu, Aoqi, Chen Wang, and Shuai Chen. "Underwater biological detection based on improved YOLOX." Journal of Physics: Conference Series 2405, no. 1 (December 1, 2022): 012010. http://dx.doi.org/10.1088/1742-6596/2405/1/012010.
Повний текст джерелаNersesov, B. A., and N. A. Rimsky-Korsakov. "STATISTICAL SUBSTANTIATION OF THE PERMISSIBLE DECREASE IN THE SENSITIVITY OF THE MAGNETOMETER WITH SAVING THE REQUIRED PROBABILITY OF DETECTING THE UNDERWATER OBJECT." Journal of Oceanological Research 50, no. 2 (August 29, 2022): 178–87. http://dx.doi.org/10.29006/1564-2291.jor-2022.50(2).9.
Повний текст джерелаZhu, Jianjiang, Siquan Yu, Zhi Han, Yandong Tang, and Chengdong Wu. "Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge." Mathematical Problems in Engineering 2019 (February 3, 2019): 1–11. http://dx.doi.org/10.1155/2019/2892975.
Повний текст джерелаCai, Sixian, Guocheng Li, and Yuan Shan. "Underwater object detection using collaborative weakly supervision." Computers and Electrical Engineering 102 (September 2022): 108159. http://dx.doi.org/10.1016/j.compeleceng.2022.108159.
Повний текст джерелаLin Wu, Xin Tian, Jie Ma, and Jinwen Tian. "Underwater Object Detection Based on Gravity Gradient." IEEE Geoscience and Remote Sensing Letters 7, no. 2 (April 2010): 362–65. http://dx.doi.org/10.1109/lgrs.2009.2035455.
Повний текст джерелаLi, Mengdi, Anumol Mathai, Stephen L. H. Lau, Jian Wei Yam, Xiping Xu, and Xin Wang. "Underwater Object Detection and Reconstruction Based on Active Single-Pixel Imaging and Super-Resolution Convolutional Neural Network." Sensors 21, no. 1 (January 5, 2021): 313. http://dx.doi.org/10.3390/s21010313.
Повний текст джерелаLi, Peng, Yibing Fan, Zhengyang Cai, Zhiyu Lyu, and Weijie Ren. "Detection Method of Marine Biological Objects Based on Image Enhancement and Improved YOLOv5S." Journal of Marine Science and Engineering 10, no. 10 (October 16, 2022): 1503. http://dx.doi.org/10.3390/jmse10101503.
Повний текст джерелаNaseer, Atif, Enrique Nava Baro, Sultan Daud Khan, and Yolanda Vila. "A Novel Detection Refinement Technique for Accurate Identification of Nephrops norvegicus Burrows in Underwater Imagery." Sensors 22, no. 12 (June 12, 2022): 4441. http://dx.doi.org/10.3390/s22124441.
Повний текст джерелаDinakaran, Ranjith, Li Zhang, Chang-Tsun Li, Ahmed Bouridane, and Richard Jiang. "Robust and Fair Undersea Target Detection with Automated Underwater Vehicles for Biodiversity Data Collection." Remote Sensing 14, no. 15 (August 1, 2022): 3680. http://dx.doi.org/10.3390/rs14153680.
Повний текст джерелаLiu, Zheng, Yaoming Zhuang, Pengrun Jia, Chengdong Wu, Hongli Xu, and Zhanlin Liu. "A Novel Underwater Image Enhancement Algorithm and an Improved Underwater Biological Detection Pipeline." Journal of Marine Science and Engineering 10, no. 9 (August 28, 2022): 1204. http://dx.doi.org/10.3390/jmse10091204.
Повний текст джерелаZhang, Minghua, Shubo Xu, Wei Song, Qi He, and Quanmiao Wei. "Lightweight Underwater Object Detection Based on YOLO v4 and Multi-Scale Attentional Feature Fusion." Remote Sensing 13, no. 22 (November 21, 2021): 4706. http://dx.doi.org/10.3390/rs13224706.
Повний текст джерелаZhang, Xueting, Xiaohai Fang, Mian Pan, Luhua Yuan, Yaxin Zhang, Mengyi Yuan, Shuaishuai Lv, and Haibin Yu. "A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection." Sensors 21, no. 21 (October 29, 2021): 7205. http://dx.doi.org/10.3390/s21217205.
Повний текст джерелаAsyraf, Mohamed Syazwan, Iza Sazanita Isa, Mohd Ikhmal Fitri Marzuki, Siti Noraini Sulaiman, and Chin Chang Hung. "CNN-based YOLOv3 Comparison for Underwater Object Detection." Journal of Electrical & Electronic Systems Research 18, APR2021 (April 1, 2021): 30–37. http://dx.doi.org/10.24191/jeesr.v18i1.005.
Повний текст джерелаMathias, Ajisha, Samiappan Dhanalakshmi, R. Kumar, and R. Narayanamoorthi. "Deep Neural Network Driven Automated Underwater Object Detection." Computers, Materials & Continua 70, no. 3 (2022): 5251–67. http://dx.doi.org/10.32604/cmc.2022.021168.
Повний текст джерелаGaude, Girish, and Samarth Borkar. "Comprehensive Survey on Underwater Object Detection and Tracking." International Journal of Computer Sciences and Engineering 6, no. 11 (November 30, 2018): 304–13. http://dx.doi.org/10.26438/ijcse/v6i11.304313.
Повний текст джерелаZarkasi, Ahmad, Sutarno Sutarno, Huda Ubaya, and Muhammad Fajar. "Implementation Color Filtering and Harris Corner Method on Pattern Recognition System." Computer Engineering and Applications Journal 6, no. 3 (October 14, 2017): 139–44. http://dx.doi.org/10.18495/comengapp.v6i3.219.
Повний текст джерелаFORESTI, G. L., and S. GENTILI. "A VISION BASED SYSTEM FOR OBJECT DETECTION IN UNDERWATER IMAGES." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 02 (March 2000): 167–88. http://dx.doi.org/10.1142/s021800140000012x.
Повний текст джерелаMa, Chao, Chun Jie Qiao, Yue Ke Wang, and Shen Zhao. "A Real-Time Processing Method of Underwater Ambient Noise Spectrum Based on One-Third Octave." Applied Mechanics and Materials 333-335 (July 2013): 522–25. http://dx.doi.org/10.4028/www.scientific.net/amm.333-335.522.
Повний текст джерелаLiu, Tao, Shuangyan He, Haoyang Liu, Yanzhen Gu, and Peiliang Li. "A Robust Underwater Multiclass Fish-School Tracking Algorithm." Remote Sensing 14, no. 16 (August 21, 2022): 4106. http://dx.doi.org/10.3390/rs14164106.
Повний текст джерелаGe, Huilin, Yuewei Dai, Zhiyu Zhu, and Xu Zang. "Single-Stage Underwater Target Detection Based on Feature Anchor Frame Double Optimization Network." Sensors 22, no. 20 (October 17, 2022): 7875. http://dx.doi.org/10.3390/s22207875.
Повний текст джерелаNguyen, Huu Thu, Eon-Ho Lee, Chul Hee Bae, and Sejin Lee. "Multiple Object Detection Based on Clustering and Deep Learning Methods." Sensors 20, no. 16 (August 7, 2020): 4424. http://dx.doi.org/10.3390/s20164424.
Повний текст джерелаRazali, Raiz, Muhammad Syafiq Jasmee, and Nafisah Khalid. "Comparative Analysis between Bathymetry and Backscatter Underwater Object Detection." IOP Conference Series: Earth and Environmental Science 767, no. 1 (May 1, 2021): 012035. http://dx.doi.org/10.1088/1755-1315/767/1/012035.
Повний текст джерелаWu, Lin, and Jinwen Tian. "Automated gravity gradient tensor inversion for underwater object detection." Journal of Geophysics and Engineering 7, no. 4 (October 26, 2010): 410–16. http://dx.doi.org/10.1088/1742-2132/7/4/008.
Повний текст джерелаJeon, MyungHwan, Yeongjun Lee, Young-Sik Shin, Hyesu Jang, and Ayoung Kim. "Underwater Object Detection and Pose Estimation using Deep Learning." IFAC-PapersOnLine 52, no. 21 (2019): 78–81. http://dx.doi.org/10.1016/j.ifacol.2019.12.286.
Повний текст джерелаWang, Jun, Shuman Qi, Chao Wang, Jin Luo, Xin Wen, and Rui Cao. "B-YOLOX-S: A Lightweight Method for Underwater Object Detection Based on Data Augmentation and Multiscale Feature Fusion." Journal of Marine Science and Engineering 10, no. 11 (November 16, 2022): 1764. http://dx.doi.org/10.3390/jmse10111764.
Повний текст джерелаHimri, Khadidja, Pere Ridao, and Nuno Gracias. "Underwater Object Recognition Using Point-Features, Bayesian Estimation and Semantic Information." Sensors 21, no. 5 (March 5, 2021): 1807. http://dx.doi.org/10.3390/s21051807.
Повний текст джерелаCai, Liangwei, Ceng Wang, and Yuan Xu. "A Real-Time FPGA Accelerator Based on Winograd Algorithm for Underwater Object Detection." Electronics 10, no. 23 (November 23, 2021): 2889. http://dx.doi.org/10.3390/electronics10232889.
Повний текст джерелаWang, Lin, Xiufen Ye, Shunli Wang, and Peng Li. "ULO: An Underwater Light-Weight Object Detector for Edge Computing." Machines 10, no. 8 (July 29, 2022): 629. http://dx.doi.org/10.3390/machines10080629.
Повний текст джерелаForesti, Gian Luca, and Ivan Scagnetto. "An integrated low-cost system for object detection in underwater environments." Integrated Computer-Aided Engineering 29, no. 2 (March 14, 2022): 123–39. http://dx.doi.org/10.3233/ica-220675.
Повний текст джерелаMatharu, Pawandeep Singh, Akash Ashok Ghadge, Yara Almubarak, and Yonas Tadesse. "Jelly-Z: Twisted and coiled polymer muscle actuated jellyfish robot for environmental monitoring." ACTA IMEKO 11, no. 3 (September 5, 2022): 1. http://dx.doi.org/10.21014/acta_imeko.v11i3.1255.
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