[1] Gong J Y, Ji S P. From photogrammetry to computer vision[J]. Geomatics and Information Science of Wuhan University, 42, 1518-1522, 1615(2017).

[2] Yuan X X, Yuan W, Xu S et al. Research developments and prospects on dense image matching in photogrammetry[J]. Acta Geodaetica et Cartographica Sinica, 48, 1542-1550(2019).

[3] Liu J S, Jiang Z Y, Xu Y B et al. Multithread and GPU parallel schema on patch-based multi-view stereo algorithm[J]. Computer Science, 44, 296-301(2017).

[4] Chen X Y, He H Q, Zhou J C et al. Progress and future of image matching in low-altitude photogrammetry[J]. Acta Geodaetica et Cartographica Sinica, 48, 1595-1603(2019).

[5] Kang Y H, Dai J G, Song W D et al. Three-dimensional reconstruction based on multi-source high resolution remote sensing images[J]. Science of Surveying and Mapping, 40, 156-161(2015).

[6] Zhao Y P, Yu Y C, Li Y. Research on construction technology of 3D scene point cloud model based on improved PMVS algorithm[C]. //Proceedings of the 2018 2nd International Conference on Computer Science and Artificial Intelligence-CSAI’18, December 8-10, 2018. Shenzhen, China., 359-363(2018).

[7] Furukawa Y, Ponce J. Accurate, dense, and robust multi-view stereopsis[C]. //2007 IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, Minneapolis, MN, USA., 1-8(2007).

[8] Ji M Q, Gall J, Zheng H T et al. SurfaceNet: an end-to-end 3D neural network for multiview stereopsis[C]. //2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy, 2326-2334(2017).

[9] Yang W B, Sun B W. Improved PMVS algorithm with double constraints[J]. Journal of Frontiers of Computer Science and Technology, 11, 1804-1815(2017).

[10] Xiao X W, Guo B X, Li D R et al. Multi-view stereo matching based on self-adaptive patch and image grouping for multiple unmanned aerial vehicle imagery[J]. Remote Sensing, 8, 89(2016).

[11] Shao Z F, Yang N, Xiao X W et al. A multi-view dense point cloud generation algorithm based on low-altitude remote sensing images[J]. Remote Sensing, 8, 381(2016).

[12] Wang X C, Liu H H, Niu Y M. Binocular stereo matching by combining multiscale local and deep features[J]. Acta Optica Sinica, 40, 0215001(2020).

[13] Wang Y P, Qin A N, Hao Q et al. Semi-global stereo matching of remote sensing images combined with speeded up robust features[J]. Acta Optica Sinica, 40, 1628003(2020).

[14] Hornung A, Kobbelt L. Hierarchical volumetric multi-view stereo reconstruction of manifold surfaces based on dual graph embedding[C]. //2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’06), June 17-22, 2006, New York, NY, USA., 503-510(2006).

[15] Vogiatzis G, Hernandez Esteban C, Torr P H S et al. Multiview stereo via volumetric graph-cuts and occlusion robust photo-consistency[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, 2241-2246(2007).

[16] Zaharescu A, Boyer E, Horaud R. Topology-adaptive mesh deformation for surface evolution, morphing, and multiview reconstruction[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 823-837(2011).

[17] Abdelhak S, Chaouki B M. High performance volumetric modelling from silhouette: GPU-image-based visual hull[C]. //2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA), November 29-December 2, 2016, Agadir, Morocco, 1-7(2016).

[18] Yao Y, Luo Z X, Li S W et al. MVSNet: depth inference for unstructured multi-view stereo[M]. //Ferrari V, Hebert M, Sminchisescu C, et al. Computer vision-ECCV 2018. Lecture notes in computer science, 11212, 785-801(2018).

[19] Cheng M Y, Gai S Y, Da F P. A stereo-matching neural network based on attention mechanism[J]. Acta Optica Sinica, 40, 1415001(2020).

[20] Diao X L, Liu H W, Zhao T. An improved three-dimensional subspace minimization conjugate gradient method[J]. Journal of Jilin University (Science Edition), 58, 470-478(2020).