文献类型: 外文期刊
作者: Zhang, Jiaze 1 ; Wang, Shuxian 1 ; Zhang, Shengmao 1 ; Li, Jiakang 1 ; Sun, Yueying 1 ;
作者机构: 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Key Lab Fisheries Remote Sensing, Minist Agr & Rural Affairs, Shanghai, Peoples R China
2.Shanghai Ocean Univ, Coll Informat, Shanghai, Peoples R China
3.Dalian Ocean Univ, Sch Nav & Naval Architecture, Dalian, Peoples R China
4.Laoshan Lab, Qingdao, Peoples R China
关键词: Chinese Mitten Crab; Transfer learning; KPCA; 1D-PCA; 2D-PCA; (2D)(2)-PCA
期刊名称:MULTIMEDIA TOOLS AND APPLICATIONS ( 影响因子:3.6; 五年影响因子:3.1 )
ISSN: 1380-7501
年卷期: 2023 年
页码:
收录情况: SCI
摘要: Chinese mitten crab is one of China's unique aquaculture species, which has significant economic value to the aquatic product market. In order to recognize different individual Chinese mitten crab, this paper proposes a method of first detection and recognition of carapace combined with YOLOv5 (You Only Look Once v5) and principal component analysis (PCA) and its improved method. First, the image of the Chinese mitten crab is obtained through the camera. Secondly, YOLOv5 and transfer learning method are used to detect the target of the Chinese mitten crab, and then the target is automatic cropped according to the detected target frame of Chinese mitten crab carapace. Finally, four methods of KPCA, one-dimensional PCA (1D-PCA), two-dimensional PCA (2D-PCA), and two-way two-dimensional PCA ((2D)(2)-PCA) were used for matching. The results show that the (2D)(2)-PCA recognition rate can reach 84.42%, which is 18.27%, 9.128% and 8.689% higher than the other three methods respectively. In addition, the matching speed only takes 1.859 s, compared with the other three methods. The method improves by 86.051 s, 2.562 s and 0.784 s, respectively. Therefore, this method has a better experimental effect in the experiment, and the recognition speed is faster. The results of the study can avoid the economic loss of aquatic products and provide a new research method for the recognition of the Chinese mitten crab carapace.
- 相关文献
作者其他论文 更多>>
-
Characteristics and distribution model of wind and wave in Shengsi mussel culture area under the impacts of tropical cyclones
作者:Wu, Zuli;Xiong, Minsi;Shi, Yongchuang;Song, Yunpeng;Dai, Yang;Zhang, Shengmao
关键词:typhoon; fisheries mutual aid insurance; floating raft aquaculture; wind and wave model
-
Exploring deep learning techniques for the extraction of lit fishing vessels from Luojia1-01
作者:Hu, Huijuan;Zhou, Weifeng;Cheng, Tianfei;Hu, Huijuan;Jiang, Bohui;Zhang, Jiaze;Cheng, Tianfei
关键词:Identification of lit fishing vessel; Deep learning; YOLO-V5; Object detection
-
Spatial information extraction of fishing grounds for light purse seine vessels in the Northwest Pacific Ocean based on AIS data
作者:Wan, Lijun;Wan, Lijun;Cheng, Tianfei;Fan, Wei;Shi, Yongchuang;Zhang, Heng;Zhang, Shengmao;Yu, Linlin;Dai, Yang;Yang, Shenglong;Cheng, Tianfei;Fan, Wei;Shi, Yongchuang;Zhang, Heng;Zhang, Shengmao;Dai, Yang;Yang, Shenglong;Zhang, Shengmao;Dai, Yang;Yu, Linlin
关键词:Northwest pacific ocean; Light purse seine vessels; AIS; GMM; KDE; HSA
-
Quantifying the spatial nonstationary response of environmental factors on purse seine tuna vessel fishing
作者:Wang, Wei;Zhang, Shengmao;Wang, Wei;Fan, Wei;Wu, Yumei;Zhang, Shengmao;Zhou, Weifeng;Fan, Xiumei;Yang, Shenglong;Wang, Wei;Fan, Wei;Wu, Yumei;Zhang, Shengmao;Zhou, Weifeng;Fan, Xiumei;Yang, Shenglong;Shi, Jiashu;Jin, Weiguo;Wang, Guolai
关键词:Tuna; Western and Central Pacific Ocean; Fishing effort; GWR; Spatial distribution; Spatial heterogeneity
-
YOLOv7-DCN-SORT: An algorithm for detecting and counting targets on Acetes fishing vessel operation
作者:Sun, Yueying;Zhang, Shengmao;Shi, Yongchuang;Tang, Fenghua;Dai, Yang;Sun, Yueying;Chen, Junlin;Xiong, Ying;Li, Lin
关键词:Offshore fishing; Deep learning; YOLOv7; Hungarian matching method; Kalman filter
-
Estimation of Artificial Reef Pose Based on Deep Learning
作者:Song, Yifan;Wu, Zuli;Zhang, Shengmao;Quan, Weimin;Shi, Yongchuang;Xiong, Xinquan;Li, Penglong;Song, Yifan;Xiong, Xinquan;Li, Penglong
关键词:artificial reefs; YOLOv8; key point detection; pose estimation
-
Spatio-temporal variability of fishing habitat suitability to tuna purse seine fleet in the Western and Central Pacific Ocean
作者:Yang, Shenglong;Wang, Lijun;Zhang, Shengmao;Yu, Linlin;Zhang, Heng;Wang, Fei;Wu, Yumei;Wu, Zuli;Wang, Wei;Shi, Jiayu;Jiang, Keji;Fan, Wei;Yang, Shenglong;Zhang, Shengmao;Zhang, Heng;Wang, Fei;Wu, Yumei;Wu, Zuli;Jiang, Keji;Fan, Wei;Wang, Lijun;Shi, Jiayu;Fei, Yingjie;Yu, Linlin;Wang, Wei
关键词:Automatic identification system; Tuna purse seine fleet; Fishing habitat suitability; Satellite remote sensing data