An advanced orthoimage mosaicking method for urban areas based on edge thickening

References

• Amit. “Amit’s Game Programming Information.” Accessed 08 November 2016. http://www-csstudents.stanford.edu/~amitp/gameprog.html
   Google Scholar
• Chen, Q., M. Sun, X. Hu, and Z. Zhang. 2014. “Automatic Seamline Network Generation for Urban Orthophoto Mosaicking with the Use of a Digital Surface Model.” Remote Sensing 6: 12334–12359. doi:10.3390/rs61212334.
   Web of Science ®Google Scholar
• Chon, J., H. Kim, and C. Lin. 2010. “Seam-Line Determination for Image Mosaicking: A Technique Minimizing the Maximum Local Mismatch and the Global Cost.” ISPRS Journal of Photogrammetry and Remote Sensing 65: 86–92. doi:10.1016/j.isprsjprs.2009.09.001.
   Web of Science ®Google Scholar
• Dijkstra, E. W. 1959. “A Note on Two Problems in Connexion with Graphs.” Numerische Mathematik 1: 269–271. doi:10.1007/BF01386390.
   Web of Science ®Google Scholar
• Fernández, E., R. Garfinkel, and R. Arbiol. 1998. “Mosaicking of Aerial Photographic Maps via Seams Defined by Bottleneck Shortest Paths.” Operations Research 46: 293–304. doi:10.2307/222823.
   Web of Science ®Google Scholar
• Fernández, E., and R. Martí. 1999. “GRASP for Seam Drawing in Mosaicking of Aerial Photographic Maps.” Journal of Heuristics 5: 181–197. doi:10.1023/A:1009633811636.
   Web of Science ®Google Scholar
• Hart, P. E. G., N. J. Nilsson, and B. Raphael. 1968. “A Formal Basis for the Heuristic Determination of Minimum Cost Paths.” IEEE Transactions on Systems Science and Cybernetics 4 (2): 100–107. doi:10.1109/TSSC.1968.300136.
   Web of Science ®Google Scholar
• Kerschner, M. 2001. “Seamline Detection in Colour Orthoimage Mosaicking by Use of Twin Snakes.” ISPRS Journal of Photogrammetry and Remote Sensing 56: 53–64. doi:10.1016/S0924-2716(01)00033-8.
   Web of Science ®Google Scholar
• Kim, K. H., S. Sin, and W. Lee. 2015. “Exploring 3D Shortest Distance Using A* Algotihm in Unity3D.” Journal of Arts and Imaging Science 2 (3): 1–5. doi:10.15323/techart.2015.08.2.3.1.
   Google Scholar
• Lester, P. “A* Pathfinding for Beginners.” Accessed 12 Mar 2017. http://www.policyalmanac.org/games/aStarTutorial.htm
   Google Scholar
• Ma, H., and J. Sun. 2011. “Intelligent Optimization of Seam-Line Finding for Orthophoto Mosaicking with Lidar Point Clouds.” Journal of Zhejiang University SCIENCE C 12: 417–429. doi:10.1631/jzus.C1000235.
   Web of Science ®Google Scholar
• Milgram, D. L. 1975. “Computer Methods for Creating Photomosaics.” IEEE Transactions Computation 24: 1113–1119. doi:10.1109/T-C.1975.224142.
   Web of Science ®Google Scholar
• Mills, S., and P. McLeod. 2013. “Global Seamline Networks for Orthomosaic Generation via Local Search.” ISPRS Journal of Photogrammetry and Remote Sensing 75: 101–111. doi:10.1016/j.isprsjprs.2012.11.003.
   Web of Science ®Google Scholar
• Niu, L., and G. Zhuo. 2008. “An Improved Real 3D A* Algorithm for Difficult Path Finding Situation.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 27 (Part B4): 927–930.
   Google Scholar
• Pan, J., M. Wang, D. Li, and J. Li. 2009. “Automatic Generation of Seamline Network Using Area Voronoi Diagrams with Overlap.” IEEE Transactions on Geoscience and Remote Sensing 47: 1737–1744. doi:10.1109/TGRS.2008.2009880.
   Web of Science ®Google Scholar
• Pan, J., Q. Zhou, and M. Wang. 2014. “Seamline Determination Based on Segmentation for Urban Image Mosaicking.” IEEE Geoscience and Remote Sensing Letters 11: 1335–1339. doi:10.1109/LGRS.2013.2293197.
   Web of Science ®Google Scholar
• Pang, S., M. Sun, X. Hu, and Z. Zhang. 2016. “SGM-Based Seamline Determination for Urban Orthophoto Mosaicking.” ISPRS Journal of Photogrammetry and Remote Sensing 112 (2016): 1–12. doi:10.1016/j.isprsjprs.2015.11.007.
   Web of Science ®Google Scholar
• Soille, P. 2006. “Morphological Image Compositing.” IEEE Transactions on Pattern Analysis and Machine Intelligence 28: 673–683. doi:10.1109/TPAMI.2006.99.
   PubMed Web of Science ®Google Scholar
• Wan, Y., D. Wang, J. Xiao, X. Lai, and J. Xu. 2013. “Automatic Determination of Seamlines for Aerial Image Mosaicking Based on Vector Roads Alone.” ISPRS Journal of Photogrammetry and Remote Sensing 76: 1–10. doi:10.1016/j.isprsjprs.2012.11.002.
   Web of Science ®Google Scholar
• Wan, Y., D. Wang, J. Xiao, X. Wang, Y. Yu, and J. Xu. 2012. “Tracking of Vector Roads for the Determination of Seams in Aerial Image Mosaics.” IEEE Geoscience and Remote Sensing Letters 9: 328–332. doi:10.1109/LGRS.2011.2167712.
   Web of Science ®Google Scholar
• Yang, Y., Y. Gao, H. Li, and Y. Han. 2011. “An Algorithm for Remote Sensing Image Mosaic Based on Valid Area.” In Proceedings of the IEEE International Symposium on Image and Data Fusion, Tengchong, Yunnan, China, August 9 –11.
   Google Scholar
• Yu, L., E. J. Holden, M. C. Dentith, and H. Zhang. 2012. “Towards the Automatic Selection of Optimal Seam Line Locations When Merging Optical Remote Sensing Images.” International Journal of Remote Sensing 33: 1000–1014. doi:10.1080/01431161.2010.545083.
   Web of Science ®Google Scholar
• Zagrouba, E., W. Barhoumi, and S. Amri. 2009. “An Efficient Image-Mosaicing Method Based on Multifeature Matching.” Machine Vision and Applications 20: 139–162. doi:10.1007/s00138-007-0114-y.
   Web of Science ®Google Scholar
• Zhao, Y., T. Han, S. Feng, and C. Miao. 2013. “Remote Sensing Image Mosaic by Incorporating Segmentation and the Shortest Path.” Communications in Computer & Information Science 398: 684–691. doi:10.1007/978-3-642-45025-9_67.
   Google Scholar
• Zheng, M., X. Xiong, and J. Zhu. 2018. “A Novel Orthoimage Mosaic Method Using A Weighted A* Algorithm – Implementation and Evaluation.” ISPRS Journal of Photogrammetry and Remote Sensing 138: 30–46. doi:10.1016/j.isprsjprs.2018.02.007.
   Web of Science ®Google Scholar
• Zheng, M., S. Zhou, X. Xiong, and J. Zhu. 2017. “A Novel Orthoimage Mosaic Method Using the Weighted A* Algorithm for UAV Imagery.” Computers & Geosciences 109: 238–246. doi:10.1016/j.cageo.2017.08.004.
   Web of Science ®Google Scholar