School of Technology, Key Laboratory of Forestry Equipment and Automation of National Forestry andGrassland Administration, Beijing 100083, China
[1] |
祁述? 中国桉树[M]. 2? 北京: 中国林业出版? 2002.
Qi S X. Eucalyptus in China[M]. 2nd ed. Beijing: China Forestry Publishing House, 2002.
|
[2] |
Arnold R J, Luo J Z, Clarke B. Trials of cold tolerant eucalypt species in cooler regions of south central China[R]. Canberra: Australian Centre for International Agricultural Research, 2004.
|
[3] |
中华人民共和国国家统计局. 中国统计年鉴(2020)[M]. 北京: 中国统计出版? 2020.
National Bureau of Statistics of the People’s Republic of China. China statistical yearbook (2020)[M]. Beijing: China Statistics Press, 2020.
|
[4] |
华蓓, 曹圃, 黄汝? 基于计算机视觉的原木材积检测方法研究[J]. 河南科技学院学报(自然科学?, 2022, 50(2): 64?9.
Hua B, Cao P, Huang R W. Research of log volume measuring method based on computer vision technology[J]. Journal of Henan Institute of Science and Technology (Natural Science Edition), 2022, 50(2): 64?9.
|
[5] |
陈广? 张强, 陈梅? ? 双目视觉的原木径级快速检测算法[J]. 北京交通大学学? 2018, 42(2): 22?0.
doi:10.11860/j.issn.1673-0291.2018.02.004
Chen G H, Zhang Q, Chen M Q, et al. Rapid detection algorithms for log diameter classes based on binocular vision[J]. Journal of Beijing Jiaotong University, 2018, 42(2): 22?0.
doi:10.11860/j.issn.1673-0291.2018.02.004
|
[6] |
Keck C, Schoedel R. Reference measurement of roundwood by fringe projection[J]. Forest Products Journal, 2021, 71(4): 352?61.
doi:10.13073/FPJ-D-21-00024
|
[7] |
唐浩, 王克? 李晓? ? 基于色差聚类的原木图像端面检测与统计[J]. 计量学报, 2020, 41(6): 682?88.
doi:10.3969/j.issn.1000-1158.2020.06.09
Tang H, Wang K J, Li X Y, et al. Logs end detection and statistics by color difference clustering[J]. Acta Metrologica Sinica, 2020, 41(6): 682?88.
doi:10.3969/j.issn.1000-1158.2020.06.09
|
[8] |
Tang H, Wang K, Gu J C, et al. Application of SSD framework model in detection of logs end[J]. Journal of Physics: Conference Series, 2020, 1486(7): 072051.
doi:10.1088/1742-6596/1486/7/072051
|
[9] |
蔡瑞? 林培? 林耀? ? 基于改进 YOLOv4-Tiny 的成捆原木端面检测算法[J]. 电视技? 2021, 45(9): 92?9.
Cai R X, Lin P J, Lin Y H, et al. A detection approach for bundled log ends based on an improved YOLOv4-Tiny network[J]. Video Engineering, 2021, 45(9): 92?9.
|
[10] |
林耀? 赵洪? 杨泽? ? 结合深度学习与Hough变换的等长原木材积检测系统[J]. 林业工程学报, 2021, 6(1): 136?42.
Lin Y H, Zhao H L, Yang Z C, et al. An equal length log volume inspection system using deep-learning and Hough transformation[J]. Journal of Forestry Engineering, 2021, 6(1): 136?42.
|
[11] |
Antti R, Heikki K, Markku T, et al. Electrical impedance and image analysis methods in detecting and measuring Scots pine heartwood from a log end during tree harvesting[J]. Computers and Electronics in Agriculture, 2020, 177(1): 105690.
|
[12] |
Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection[C]//O’Conner L. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas: IEEE, 2016: 779?88.
|
[13] |
Redmon J, Farhadi A. YOLO9000: better, faster, stronger[C]//O’Conner L. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Honolulu: IEEE, 2017: 6517?525.
|
[14] |
Redmon J, Farhadi A. YOLOV3: an incremental improvement[C]//O’Conner L. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Salt Lake City: IEEE, 2018: 1?.
|
[15] |
Liu W, Angueloy D, Erhan D, et al. SSD: single shot multibox detector[C]//Leibe B, Matas J, Sebe N, et al. Proceedings of the European Conference on Computer Vision. Berlin: Springer, 2016: 21?37.
|
[16] |
Girshick R, Donahue J, Darrelland T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//O’Conner L. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Columbus: IEEE, 2014: 580?87.
|
[17] |
Girshick R. Fast R-CNN[C]//O’Conner L. Proceedings of the IEEE International Conference on Computer Vision. Santiago: IEEE, 2015: 1440?448.
|
[18] |
Ren S, He K, Girshick R, et al. Faster R-CNN: towards realtime object detection with region proposal networks[C]//Kyoung M L. IEEE Transactions on Pattern Analysis and Machine Intelligence. New York: IEEE, 2017: 1137?149.
|
[19] |
He K M, Gkioxari G, Dollár P, et al. Mask R-CNN[C]//O’Conner L. Proceedings of the IEEE International Conference on Computer Vision. Venice: IEEE, 2017: 2980?988.
|
[20] |
Andrew F, Maurizio P, Robert B F. Direct least square fitting of ellipses[C]//Kyoung M L. IEEE transactions on pattern analysis and machine intelligence. New York: IEEE, 1999: 476?80.
|
[21] |
Huang Z J, Huang L C, Gong Y C, et al. Mask scoring R-CNN[C]//O’Conner L. IEEE CVF Conference on Computer Vision and Pattern Recognition (CVPR). Long Beach:IEEE, 2019: 6402?411.
|
[22] |
何鸿? 林晓? 王林, ? 中国与俄罗斯、美国、日本原木检验标准比较研究[J]. 世界林业研究, 2021, 34(2): 96?00.
doi:10.13348/j.cnki.sjlyyj.2020.0100.y
He H Y, Lin X L, Wang L, et al. Comparative study of log inspection standards among China, Russia, the United States of America and Japan[J]. World Forestry Research, 2021, 34(2): 96?00.
doi:10.13348/j.cnki.sjlyyj.2020.0100.y
|