光学遥感影像道路提取的方法综述(13)
Leninisha S and Vani K. 2015. Water flow based geometric active de‐formable model for road network. ISPRS Journal of Photogram‐metry and Remote Sensing, 102: 140-147 [DOI: 10.1016/j.is‐]
Li C and Li F F. sub-pixel line feature of digital images based on hypothesis testing. Acta Geodaetica et Carto‐graphica Sinica, 42(1): 67-72 (李畅, 李芳芳. 2013. 基于假设检验的数字影像线状特征亚像素自动提取. 测绘学报, 42(1):67-72)
Li C F, Liu L, Zhou T G and Zhang L. 2009. Study on road extraction from high-resolution remote sensing image based on street Sensing Information, (1): 32-35 (李成范, 刘岚, 周廷刚,张力.2009.基于行道树的高分辨率遥感影像道路提取研究.遥感信息,(1):32-35)[DOI:10.3969/]
Li C M, Kao C Y, Gore J C and Ding Z H. 2008. Minimization of re‐gion-scalable fitting energy for image segmentation. IEEE Trans‐actions on Image Processing, 17(10): 1940-1949 [DOI: 10.1109/]
Li G, An J L and Chen C H. 2011. Automatic road extraction from high-resolution remote sensing image based on bat model and mu‐tual information matching. Journal of Computers, 6(11): 2417-2426[DOI:10.4304/]
Li H S, Huang P P and Su Y. 2015.A method for road extraction from remote sensing Sensing for Land and Resources,27(2):56-62(李华胜,黄平平,苏莹.2015.一种提取遥感影像中道路信息的方法. 国土资源遥感, 27(2): 56-62) [DOI: 10.6046/]
Li J, Qin Q M, Xie C and Zhao Y. 2012. Integrated use of spatial and semantic relationships for extracting road networks from floating car data. International Journal of Applied Earth Observation and Geoinformation,19:238-247[DOI:10.1016/]
Li M M,Stein A,Bijker W and Zhan Q urban road extraction from VHR satellite images using binary partition tree. International Journal of Applied Earth Observation and Geo‐information,44:217-225[DOI:10.1016/]
Li P K,Zang Y,Wang C,Li J,Cheng M,Luo L and Yu network extraction via deep learning and line integral convolu‐tion//Proceedings of 2016 IEEE International Geoscience and Re‐mote Sensing Symposium. Beijing, China: IEEE: 1599-1602[DOI:10.1109/]
Li Q P,Fan H C,Luan X C,Yang B S and Liu approach for extracting multilane roads from OpenStreetMap ur‐ban road Journal of Geographical Informa‐tion Science, 28(11): 2200-2219 [DOI: 10.1080/.2014.]
Lian R B,Wang W X and Li J. 2018. Road extraction from high-reso‐lution remote sensing images based on adaptive circular template and saliency map. Acta Geodaetica et Cartographica Sinica, 47(7):950-958(连仁包,王卫星,李娟.2018.自适应圆形模板及显著图的高分辨遥感图像道路提取. 测绘学报, 47(7): 950-958)[DOI:10./]
Lin X G, Zhang J X, Li H T and Yang J H. 2009. Semi-automatic ex‐traction of ribbon road from high resolution remotely sensed im‐agery by a T-shaped template matching. Geomatics and Informa‐tion Science of Wuhan University, 34(3): 293-296 (林祥国, 张继贤,李海涛,杨景辉.2009.基于T 型模板匹配半自动提取高分辨率遥感影像带状道路. 武汉大学学报(信息科学版), 34(3):293-296)[DOI:10./]
Liu B, Wu H Y, Wang Y D and Liu W M. 2015. Main road extraction from ZY-3 grayscale imagery based on directional mathematical morphology and VGI prior knowledge in urban areas. PLoS One,10(9):e0[DOI:10.1371/]
Liu R Y, Song J F, Quan Y N, Xu P F, Xue Q,Yang Y and Miao Q G.2017. Automatic road extraction method for high-resolution re‐mote sensing images. Journal of Xidian University, 44(1): 100-105 (刘如意, 宋建锋, 权义宁, 许鹏飞, 雪晴, 杨云, 苗启广.2017.一种自动的高分辨率遥感影像道路提取方法.西安电子科技大学学报(自然科学版), 44(1): 100-105) [DOI: 10.3969/]
Liu W F,Zhang Z Q,Li S Y and Tao D detection by us‐ing a generalized Hough transform. Remote Sensing, 9(6): 590[DOI:10.3390/rs]
Lv Z, Jia Y H, Zhang Q and Chen Y F. 2017.An adaptive multifeature sparsity-based model for semiautomatic road extraction from high-resolution satellite images in urban areas. IEEE Geoscience and Remote Sensing Letters, 14(8): 1238-1242 [DOI: 10.1109/]
Maboudi M, Amini J, Hahn M and Saati M. 2016. Road network ex‐traction from VHR satellite images using context aware object feature integration and tensor voting. Remote Sensing, 8(8): 637[DOI:10.3390/rs]
Maboudi M, Amini J, Hahn M and Saati M. 2017. Object-based road extraction from satellite images using ant colony ‐ternational Journal of Remote Sensing, 38(1): 179-198 [DOI: 10.1080/0.2016.]
Maboudi M, Amini J, Malihi S and Hahn M. 2018 Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images. ISPRS Journal of Photo‐grammetry and Remote Sensing,138:151-163[DOI:10.1016/j.is‐]
Maggiori E,Manterola H L and del Fresno group‐ing by tensor voting: a comparative survey of recent Computer Vision, 9(2): 259-277 [DOI: 10.1049/]
Mayer H, Laptev I, Baumgartner A and Steger C. 1997. Automatic road extraction based on multi-Scale modeling, context, and snakes. International Archives of Photogrammetry and Remote Sensing,32(3):106-113.
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