[1] Wang Z Z[M]. Photogrammetry principle, 50(1979).

[2] Zhang J Q, Pan L, Wang S G[M]. Geo-spatial information science(2009).

[3] Ji S P, Shi Y. Image matching and bundle adjustment using vehicle-based panoramic camera[J]. Acta Geodaetica et Cartographica Sinica, 42, 94-100(2013).

[4] Fangi G. The multi-image spherical panoramas as a tool for architectural survey[C]. XXI International CIPA Symposium(2007).

[5] Parian J A, Gruen A. Sensor modeling, self-calibration and accuracy testing of panoramic cameras and laser scanners[J]. ISPRS Journal of Photogrammetry & Remote Sensing, 65, 60-76(2010). http://www.sciencedirect.com/science/article/pii/S0924271609001063

[6] Fangi G, Nardinocchi C. Photogrammetric processing of spherical panoramas[J]. Photogrammetric Record, 28, 293-311(2014). http://onlinelibrary.wiley.com/doi/10.1111/phor.12031/pdf

[7] Sun Z X, Zhong R F. Measurement scheme for panoramic images[J]. Journal of Applied Sciences, 33, 399-406(2015).

[8] Sun M, Dong N, Yu J L et al[J]. A method of building a measurable stereoscopic panorama Bulletin of Surveying and Mapping, 2012, 301-303.

[9] Cheng X J, Cheng X L, Hu M J et al. Buildings detection and contour extraction by the fusion of aerial images and LIDAR point cloud[J]. Chinese Journal of Lasers, 43, 0514002(2016).

[10] Li M L, Gao X Y, Li G Y et al. High accuracy calibration of installation parameters between 3D terrestrial laser scanner and external-installed digital camera[J]. Optics and Precision Engineering, 24, 2158-2166(2016).

[11] Feng W J, Zhang B F, Roning J et al. Panoramic stereo sphere vision[C]. SPIE, 8662, 866206(2013).

[12] Liu S, Chen J, Sun M et al[J]. Measurable panorama construction based on binocular spherical projective geometry Journal of Computer-Aided Design and Computer Graphics, 2015, 657-665.

[13] Ji S P, Shi Y. Comparison of two sensor models for multi-camera rig system in measurements[J]. Acta Geodaetica et Cartographica Sinica, 43, 1252-1258(2014).

[14] Zhang C, Yang H M, Han C et al. Multi-camera calibration based on vanishing point constraint[J]. Acta Photonica Sinica, 45, 0512004(2016).

[15] QI Z S, Wang Z, Huang J H et al. Research on system calibration of structured-light measurement based on neural network[J]. Acta Photonica Sinica, 45, 0512002(2016).

[16] Lu X S, Zheng Z Y, Wang D et al. Evaluating on theoretical accuracy of 3Dsurs system scanner point[J]. Acta Geodaetica et Cartographica Sinica, 39, 202-206(2010).

[17] Wang L, Li G Y, Yang X Y et al. One-site calibration of mounted parameter method for 3D mobile laser scanning[J]. Infrared and Laser Engineering, 45, 1106005(2016).

[18] Wang D, Lu X S. Realization of multi-coordinate system conversion on vehicle-borne 3D information acquisition system[J]. Science of Surveying and Mapping, 32, 35-37, 193(2007).

[19] Shi L M, Zhao H R, Li M H et al. Extrinsic calibration for vehicle-based moblie mapping system[J]. Acta Geodaetica et Cartographica Sinica, 44, 52-58(2015).

[20] Wang D, Liu F Y, Chen T E et al. The method of cylinder panoramic image based on camera calibration parameters[J]. Science of Surveying and Mapping, 41, 150-154(2016).

[21] Yan L, Cao L, Chen C J et al[J]. Registration of vehicle-borne panoramic image and LiDAR point cloud Bulletin of Surveying and Mapping, 2015, 32-36.

[22] Nie Q, Cai Y B, Lin Y et al. Registration of vehicle-borne laser point clouds and panoramic images[J]. Remote Sensing Information, 29, 15-18, 22(2014).

[23] Chen W M, Nie Q, Lin Y[J]. Research on registration of vehicle-borne laser point clouds and panoramic images based on Lodrigues matrix transformation Bulletin of Surveying and Mapping, 2013, 21-24.

[24] Cui T, Ji S, Shan J et al. Line-based registration of panoramic images and LiDAR point clouds for mobile mapping[J]. Sensors, 17, 70(2017). http://www.ncbi.nlm.nih.gov/pubmed/28042855/

[25] Zeng F Y, Zhong R F, Song Y. et al, Vehicle panoramic image matching based on epipolar geometry and space forward intersection[J]. Journal of Remote Sensing, 18, 1230-1236(2014).

[26] Song Y, Zeng F Y, Li C H et al[J]. The true-color point-cloud algorithm based on collinear principle and panoramic image Engineering of Surveying and Mapping, 2015, 1-5, 10.

[27] Yue M Y, Kang Z Z. Registration of Point clouds with panoramic images based on gnomonic projection and line features[J]. Remote Sensing Information, 32, 10-16(2017).