[1] 伍梦琦, 李中伟, 钟凯, 等. 基于几何特征和图像特征的点云自适应拼接方法[J]. 光学学报, 2015, 35(2): 0215002.

    Wu M Q, Li Z W, Zhong K, et al. Adaptive point cloud registration method based on geometric features and photometric features[J]. Acta Optica Sinica, 2015, 35(2): 0215002.

[2] 安雁艳. 三维图像拼接算法的研究[D]. 太原: 中北大学, 2015: 20- 28.

    An YY. Research on three-dimensional image mosaic algorithm[D]. Taiyuan: North University of China, 2015: 20- 28.

[3] 黄源, 达飞鹏, 陶海跻. 一种基于特征提取的点云自动配准算法[J]. 中国激光, 2015, 42(3): 0308002.

    Huang Y, Da F P, Tao H J. An automatic registration algorithm for point cloud based on feature extraction[J]. Chinese Journal of Lasers, 2015, 42(3): 0308002.

[4] Jensen J L R, Mathews A J. Assessment of image-based point cloud products to generate a bare earth surface and estimate canopy heights in a woodland ecosystem[J]. Remote Sensing, 2016, 8(1): 50.

[5] Penner M, Woods M, Pitt D. A comparison of airborne laser scanning and image point cloud derived tree size class distribution models in boreal Ontario[J]. Forests, 2015, 6(12): 4034-4054.

[6] McLean C Y, Hwang Y, Poplin R, et al. GenomeWarp: an alignment-based variant coordinate transformation[J]. Bioinformatics, 2019, 35(21): 4389-4391.

[7] 赵梦, 范宇, 杨赫, 等. 坐标变换在建筑限界测量中的应用[J]. 工程建设与设计, 2019( 6): 24- 25.

    ZhaoM, FanY, YangH, et al. The application of coordinate transformation in building boundary survey[J]. Construction & Design for Engineering, 2019( 6): 24- 25.

[8] 黄金梭, 沈正华. 基于视觉和工业机器人的动态抓取技术[J]. 包装工程, 2019, 40(11): 177-182.

    Huang J S, Shen Z H. Dynamically grasping technology based on vision and industrial robot[J]. Packaging Engineering, 2019, 40(11): 177-182.

[9] Liu X T, Li Y C, He Y, et al. Virtual synchronous motor dynamic power decoupling strategy[J]. Progress in Electromagnetics Research C, 2019, 90: 209-224.

[10] ChenJ, LuoL, WangS, et al. Automatic panoramic UAV image mosaic using ORB features and robust transformation estimation[C]// 2018 37th Chinese Control Conference (CCC). IEEE, 2018.

[11] Shen Y, Zhu J, Liu H, et al. Plant image mosaic based on depth and color dual information feature source from Kinect[J]. Transactions of the Chinese Society of Agricultural Engineering, 2018.

[12] DominguezM, DhamdhereR, PetkarA, et al.General-purpose deep point cloud feature extractor[C]//2018 IEEE Winter Conference on Applications of Computer Vision (WACV), March 12-15, 2018, Lake Tahoe, NV, USA.New York: IEEE Press, 2018: 1972- 1981.

[13] Wang P, Turcatel G, Arnesano C, et al. Fiber pattern removal and image reconstruction method for snapshot mosaic hyperspectral endoscopic images[J]. Biomedical Optics Express, 2018, 9(2): 780-790.

[14] 赵夫群, 耿国华. 基于图像特征和奇异值分解的点云配准算法[J]. 激光与光电子学进展, 2020, 57(10): 101101.

    Zhao F Q, Geng G H. Point cloud registration algorithm based on image feature and singular value decomposition[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101101.

[15] 赵维忠. 高铁道路改移测量坐标系转换研究[J]. 科技资讯, 2019, 17(20): 23-24.

    Zhao W Z. Research on transformation of coordinate system of high-speed railway road shift measurement[J]. Science & Technology Information, 2019, 17(20): 23-24.

[16] 杨松. 激光应用于铁路障碍物监测与车厢底部除冰研究[D]. 北京:中国科学院半导体研究所, 2019.

    YangS. Laser detection of railway obstacles and deicing of the bottom of railway carriages [D]. Beijing: Institute of Semiconductors,Chinese Academy of Sciences, 2019.

[17] 王静, 张雨辰, 霍占强, 等. 基于近似最近邻搜索的图像篡改检测方法[J]. 激光与光电子学进展, 2020, 57(10): 101102.

    Wang J, Zhang Y C, Huo Z Q, et al. Image tampering detection method based on approximate nearest neighbor search[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101102.

[18] Okane J, Green L M, Long D, et al. Stealth coronal mass ejections from active regions[J]. The Astrophysical Journal, 2019, 882(2): 85.