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Invited Articles

Toward a unified theoretical framework for photogrammetry

ORCID Icon, , , ORCID Icon, &
Pages 75-86 | Received 06 Nov 2019, Accepted 08 Feb 2020, Published online: 27 Feb 2020

References

  • Agarwal, S., N. Snavely, S. M. Seitz, and R. Szeliski. 2010. “Bundle Adjustment in the Large.” In European Conference on Computer Vision, September 5-11, 29–42. Hersonissos, Crete, Greece. doi:10.1007/978-3-642-15552-9_3.
  • Aulinas, J., Y. Petillot, J. Salvi, and X. Lladó. 2008. “The SLAM Problem: A Survey.” In Frontiers in Artificial Intelligence and Applications 184 (1): 363–371. doi:10.3233/978-1-58603-925-7-363.
  • Badrinarayanan, V., A. Kendall, and R. Cipolla. 2017. “SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (12): 2481–2495. doi:10.1109/TPAMI.2016.2644615.
  • Bakker, W. H., L. L. F. Janssen, C. V. Reeves, B. G. H. Gorte, C. Pohl, M. J. C. Weir, J. A. Horn, A. Prakash, and T. Woldai. 2001. Principles of Remote Sensing - an Introductory Text Book. Enschede: ITC.
  • Bar, L., T. F. Chan, G. Chung, M. Jung, N. Kiryati, N. Sochen, and L. A. Vese. 2015. “Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration.” In Handbook of Mathematical Methods in Imaging: Volume 1, 2 ed, 1095–1157. New York, NY: Springer. doi:10.1007/978-1-4939-0790-8_25.
  • Basri, R., and D. Jacobs. 2001. “Lambertian Reflectances and Linear Subspaces.” IEEE International Conference on Computer Vision, July 9–12, 25, 383–390. Vancouver, Canada.
  • Beardsley, P., P. Tort, and A. Zisserman. 1996. “3D Model Acquisition from Extended Image Sequences.” In European Conference on Computer Vision, April 14–18, 1065, 683–695. Cambridge, United Kingdom. doi:10.1007/3-540-61123-1_181.
  • Besl, P. J., and N. D. McKay. 1992. “A Method for Registration of 3-D Shapes.” IEEE Transactions on Pattern Analysis and Machine Intelligence 1611: 586–606. doi:10.1109/34.121791.
  • Boyd, S., and L. Vandenberghe. 2004. Convex Optimization. Cambridge, UK: Cambridge University Press. doi:10.1017/cbo9780511804441.
  • Bresson, G., Z. Alsayed, L. Yu, and S. Glaser. 2017. “Simultaneous Localization and Mapping: A Survey of Current Trends in Autonomous Driving.” IEEE Transactions on Intelligent Vehicles 2 (3): 194–220. doi:10.1109/tiv.2017.2749181.
  • Brown, M. Z., D. Burschka, and G. D. Hager. 2003. “Advances in Computational Stereo.” IEEE Transactions on Pattern Analysis and Machine Intelligence 25: 993–1008. doi:10.1109/TPAMI.2003.1217603.
  • Chen, J., I. Dowman, S. Li, Z. Li, M. Madden, J. Mills, N. Paparoditis, et al. 2016. “Information from Imagery: ISPRS Scientific Vision and Research Agenda.” ISPRS Journal of Photogrammetry and Remote Sensing 115: 3–21. doi:10.1016/j.isprsjprs.2015.09.008.
  • Chen, L. C., G. Papandreou, I. Kokkinos, K. Murphy, and A. L. Yuille. 2018. “DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs.” IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (4): 834–848. doi:10.1109/TPAMI.2017.2699184.
  • Duchi, J., E. Hazan, and Y. Singer. 2011. “Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.” Journal of Machine Learning Research 12: 2121–2159.
  • Förstner, W., and E. Gülch. 1987. “A Fast Operator for Detection and Precise Location of Distinct Points, Corners and Centres of Circular Features.” In ISPRS Intercommission Workshop, June 2–4. Interlaken, Switzerland.
  • Fuentes-Pacheco, J., J. Ruiz-Ascencio, and J. M. Rendón-Mancha. 2015. “Visual Simultaneous Localization and Mapping: A Survey.” Artificial Intelligence Review 43 (1): 55–81. doi:10.1007/s10462-012-9365-8.
  • Furukawa, Y., and J. Ponce. 2009. “Accurate, Dense, and Robust Multiview Stereopsis.” IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (8): 1362–1376. doi:10.1109/TPAMI.2009.161.
  • Gerke, M. 2014. “Use of the Stair Vision Library within the ISPRS 2D Semantic Labeling Benchmark (Vaihingen).” Technical report. University of Twente.
  • Golovinskiy, A., and T. Funkhouser. 2009. “Min-Cut Based Segmentation of Point Clouds.” In IEEE International Conference on Computer Vision Workshops, September 29-Octobor 2, 39–46. Kyoto, Japan. doi:10.1109/ICCVW.2009.5457721.
  • Gruen, A. 2012. “Development and Status of Image Matching in Photogrammetry.” Photogrammetric Record 27 (137): 36–57. doi:10.1111/j.1477-9730.2011.00671.x.
  • Gruen, A., and E. P. Baltsavias. 1987. “High-Precision Image Matching for Digital Terrain Model Generation.” Photogrammetria 42 (3): 97–112. doi:10.1016/0031-8663(87)90045-7.
  • Harris, C. G., and M. Stephens. 1988. “A Combined Corner and Edge Detector.” In Procedings of the Alvey Vision Conference, August 31-September 2. Manchester, United Kindom. doi:10.5244/C.2.23.
  • Hirschmüller, H. 2008. “Stereo Processing by Semiglobal Matching and Mutual Information.” IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (2): 328–341. doi:10.1109/TPAMI.2007.1166.
  • Horn, B. K. P. 1970. “Shape from Shading: A Method for Obtaining the Shape of A Smooth Opaque Object from One View.” Dissertation. Department of Electrical Engineering, The MIT Press.
  • Horn, B. K. P., and M. J. Brooks. 1986. “The Variational Approach to Shape from Shading.” Computer Vision, Graphics and Image Processing 33 (2): 174–208. doi:10.1016/0734-189X(86)90114-3.
  • Ji, S., Z. Qin, J. Shan, and M. Lu. 2020. “Panoramic SLAM from a Multiple Fisheye Camera Rig.” ISPRS Journal of Photogrammetry and Remote Sensing 159: 169–183. doi:10.1016/j.isprsjprs.2019.11.014.
  • Kemelmacher-Shlizerman, I., and R. Basri. 2011. “3D Face Reconstruction from a Single Image Using a Single Reference Face Shape.” IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (2): 394–405. doi:10.1109/TPAMI.2010.63.
  • Kiefer, J., and J. Wolfowitz. 1952. “Stochastic Estimation of the Maximum of a Regression Function.” The Annals of Mathematical Statistics 23 (3): 462–466. doi:10.1214/aoms/1177729392.
  • Kim, K., A. Torii, and M. Okutomi. 2016. “Multi-View Inverse Rendering under Arbitrary Illumination and Albedo.” In European Conference on Computer Vision, October 8–16, 750–767. Amsterdam, The Netherlands. doi:10.1007/978-3-319-46487-9_46.
  • Kingma, D. P., and J. Ba. 2015. “Adam: A Method for Stochastic Gradient Descent.” International Conference on Learning Representations, May 7–9. San Diego, CA, USA.
  • Klinker, G. J., S. A. Shafer, and T. Kanade. 1988. “Image Segmentation And Reflection Analysis Through Color.” In Applications of Artificial Intelligence VI 937: 229–244. doi:10.1117/12.946980.
  • Li, D. 2000a. “Towards Photogrammetry and Remote Sensing: Status and Future Development.” Journal of Wuhan Technical University of Surveying and Mapping 2000: 1.
  • Li, D., and J. Shan. 1989. “Quality Analysis of Bundle Block Adjustment with Navigation Data.” Photogrammetric Engineering & Remote Sensing 55: 1743–1746.
  • Li, D., S. Wang, and Y. Zhou. 2008. An Introduction to Photogrammetry and Remote Sensing. 2nd Ed. Beijing: Publishing House of Surveying and Mapping.
  • Li, D., Q. Zhu, and X. Li. 2000b. “Cybercity: Conception, Technical Supports and Typical Applications.” Geo-Spatial Information Science 3 (4): 1–8. doi:10.1007/BF02829388.
  • Li, W., and Z. Fu. 2018. “Unmanned Aerial Vehicle Positioning Based on Multi-Sensor Information Fusion.” Geo-Spatial Information Science 21 (4): 302–310. doi:10.1080/10095020.2018.1465209.
  • Lowe, D. G. 2004. “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision 60 (2): 91–110. doi:10.1023/B:VISI.0000029664.99615.94.
  • Mumford, D., and J. Shah. 1989. “Optimal Approximations by Piecewise Smooth Functions and Associated Variational Problems.” Communications on Pure and Applied Mathematics 42 (5): 577–685. doi:10.1002/cpa.3160420503.
  • Mur-Artal, R., and J. D. Tardos. 2017. “ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras.” IEEE Transactions on Robotics 33 (5): 1255–1262. doi:10.1109/TRO.2017.2705103.
  • Nex, F., M. Gerke, F. Remondino, H. J. Przybilla, M. Bäumker, and A. Zurhorst. 2015. “ISPRS Benchmark for Multi-Platform Photogrammetry.” ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W4: 135–142. doi:10.5194/isprsannals-II-3-W4-135-2015.
  • Papon, J., A. Abramov, M. Schoeler, and F. Worgotter. 2013. “Voxel Cloud Connectivity Segmentation - Supervoxels for Point Clouds.” In IEEE Conference on Computer Vision and Pattern Recognition, June 23-27, 2027–2034. Oregon, Potland. doi:10.1109/CVPR.2013.264.
  • Peng, J., Y. Zhang, and J. Shan. 2015. “Shading-Based DEM Refinement under a Comprehensive Imaging Model.” ISPRS Journal of Photogrammetry and Remote Sensing 110: 24–33. doi:10.1016/j.isprsjprs.2015.09.012.
  • Real Ehrlich, C., and J. Blankenbach. 2019. “Indoor Localization for Pedestrians with Real-Time Capability Using Multi-Sensor Smartphones.” Geo-Spatial Information Science: 1–16. doi:10.1080/10095020.2019.1613778.
  • Salah, M. B., A. Mitiche, and I. B. Ayed. 2010. “Multiregion Image Segmentation by Parametric Kernel Graph Cuts.” IEEE Transactions on Image Processing 20 (2): 545–557. doi:10.1109/TIP.2010.2066982.
  • Scharstein, D., and R. Szeliski. 2002. “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms.” International Journal of Computer Vision 47: 7–42. doi:10.1023/A:1014573219977.
  • Schenk, T. 2005. Introduction to Photogrammetry. Columbus, OH: Department of Civil and Environmental Engineering and Geodetic Science, The Ohio State University.
  • Schonberger, J. L., and J. M. Frahm. 2016. “Structure-from-Motion Revisited.” In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 26-July 1, 4104–4113. Las Vegas, Nevada, USA. doi:10.1109/CVPR.2016.445.
  • Schönberger, J. L., E. Zheng, J. M. Frahm, and M. Pollefeys. 2016. “Pixelwise View Selection for Unstructured Multi-View Stereo.” In European Conference on Computer Vision, October 8-16, 501–518. Amsterdam, The Netherlands. doi:10.1007/978-3-319-46487-9_31.
  • Serafin, J., and G. Grisetti. 2015. “NICP: Dense Normal Based Point Cloud Registration.” In IEEE International Conference on Intelligent Robots and Systems, September 28-October 3, 742–749. Hamburg, Germany. doi:10.1109/IROS.2015.7353455.
  • Shan, J. 2017. “Remote Sensing: From Trained Professionals to General Public.” Acta Geodaetica Et Cartographica Sinica 46 (10): 1434–1446. doi:doi.10.11947/j.AGCS.2017.20170361.
  • Shan, J. 2018. “A Brief History and Essentials of Bundle Adjustment.” Geomatics and Information Science of Wuhan University 43 (12): 1797–1810. doi:10.13203/j.whugis20180331.
  • Shelhamer, E., J. Long, and T. Darrell. 2017. “Fully Convolutional Networks for Semantic Segmentation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (4): 640–651. doi:10.1109/TPAMI.2016.2572683.
  • Shewchuk, J. R. 2002. “Delaunay Refinement Algorithms for Triangular Mesh Generation.” Computational Geometry: Theory and Applications 22 (1–3): 21–74. doi:10.1016/S0925-7721(01)00047-5.
  • Storath, M., A. Weinmann, J. Frikel, and M. Unser. 2015. “Joint Image Reconstruction and Segmentation Using the Potts Model.” Inverse Problems 31 (2): 025003. doi:10.1088/0266-5611/31/2/025003.
  • Tola, E., V. Lepetit, and P. Fua. 2010. “DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo.” IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (5): 815–830. doi:10.1109/TPAMI.2009.77.
  • Triggs, B., P. F. McLauchlan, R. I. Hartley, and A. W. Fitzgibbon. 1999. “Bundle Adjustment — A Modern Synthesis.” In International Workshop on Vision Algorithms, September 20-25, 298–372. Corfu, Greece. doi:10.1007/3-540-44480-7_21.
  • Vu, N., and B. S. Manjunath. 2008. “Shape Prior Segmentation of Multiple Objects with Graph Cuts.” In IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 1–8. Anchorage, Alaska, USA. doi:10.1109/CVPR.2008.4587450.
  • Wang, Z. 1990. Principle of Photogrammetry. Beijing: Publishing House of Surveying and Mapping.
  • Woodham, R. J. 1980. “Photometric Method For Determining Surface Orientation From Multiple Images.” Optical Engineering 19 (1): 139–144. doi:10.1117/12.7972479.
  • Wu, C. 2016. “VisualSFM : A Visual Structure from Motion System.” Accessed 11 January 2020. http://www.cs.washington.edu/homes/ccwu/vsfm
  • Wu, C., B. Wilburn, Y. Matsushita, and C. Theobalt. 2011. “High-Quality Shape from Multi-View Stereo and Shading under General Illumination.” In IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 969–976. Colorado, USA. doi:10.1109/CVPR.2011.5995388.
  • Xiong, B., M. Jancosek, S. Oude Elberink, and G. Vosselman. 2015. “Flexible Building Primitives for 3D Building Modeling.” ISPRS Journal of Photogrammetry and Remote Sensing 101: 275–290. doi:10.1016/j.isprsjprs.2015.01.002.
  • Yan, J., J. Shan, and W. Jiang. 2014. “A Global Optimization Approach to Roof Segmentation from Airborne Lidar Point Clouds.” ISPRS Journal of Photogrammetry and Remote Sensing 94: 183–193. doi:10.1016/j.isprsjprs.2014.04.022.
  • Yang, M., K. Yu, C. Zhang, Z. Li, and K. Yang. 2018. “DenseASPP for Semantic Segmentation in Street Scenes.” In IEEE Conference on Computer Vision and Pattern Recognition, June 18-22, 3684–3692. Salt Lake City, Utah, USA. doi:10.1109/CVPR.2018.00388.
  • Zabih, R., and J. Woodfill. 1994. “Non-Parametric Local Transforms for Computing Visual Correspondence.” In European Conference on Computer Vision, May 2-6, 151–158. Stockholm, Sweden. doi:10.1007/bfb0028345.
  • Zhang, H., J. E. Fritts, and S. A. Goldman. 2008. “Image Segmentation Evaluation: A Survey of Unsupervised Methods.” Computer Vision and Image Understanding 110 (2): 260–280. doi:10.1016/j.cviu.2007.08.003.
  • Zhang, L., and A. Gruen. 2006. “Multi-Image Matching for DSM Generation from IKONOS Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 60 (3): 195–211. doi:10.1016/j.isprsjprs.2006.01.001.
  • Zhang, R., P. S. Tsai, J. E. Cryer, and M. Shah. 1999. “Shape from Shading: A Survey.” IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (8): 690–706. doi:10.1109/34.784284.
  • Zhao, H., J. Shi, X. Qi, X. Wang, and J. Jia. 2017. “Pyramid Scene Parsing Network.” In IEEE Conference on Computer Vision and Pattern Recognition, July 21-26, 2881–2890. Honolulu, Hawaii, USA. doi: 10.1109/CVPR.2017.660.
  • Zhao, W., L. Yan, and Y. Zhang. 2018. “Geometric-Constrained Multi-View Image Matching Method Based on Semi-Global Optimization.” Geo-Spatial Information Science 21 (2): 115–126. doi:10.1080/10095020.2018.1441754.