[1] BAO Sheng, YANG Haoqin, OUYANG Difan. City information modeling-based new-type smart city management platform. Urban Development Studies, 25, 50-57(2018).

[2] LIU Jianqin, YUAN Qing, HUANG Wei. Research on the application of realistic 3D image in urban management industry. China Computer & Communication, 29, 66-67(2017).

[3] DOU S Q, DING S Y. Construction of smart community based on GIS and tilt photogrammetry. The International Archives of the Photogrammetry， Remote Sensing and Spatial Information Sciences, 10, 547-554(2020).

[4] YANG Shengtian, WANG Pengfei, WANG Juan et al. River flow estimation method based on UAV aerial photogrammetry. National Remote Sensing Bulletin, 25, 1284-1293(2021).

[5] YANG Fengxue. Application of the 3D modeling based on oblique photography measurement technology in oilfield planning. Oil-Gas Field Surface Engineering, 38, 93-96(2019).

[6] LI Deren, XIAO Xiongwu, GUO Bingxuan et al. Oblique image based automatic aerotriangulation and its application in 3D city model reconstruction. Geomatics and Information Science of Wuhan University, 41, 711-721(2016).

[7] RONG Y T, ZHANG T, ZHENG Y C et al. Three-dimensional urban flood inundation simulation based on digital aerial photogrammetry. Journal of Hydrology, 584, 124308(2020).

[8] XU J H, WANG C, LI S S et al. Emergency evacuation shelter management and online drill method driven by real scene 3D model. International Journal of Disaster Risk Reduction, 97, 104057(2023).

[9] LIAO Mengguang, LI Meng, CHU Nan et al. Research on extraction method of single tree height from UAV oblique images broad-leaved forest based on GIS neighborhood analysis. Remote Sensing Technology and Application, 38, 1203-1214(2023).

[10] CHEN Jun, LIU Jianjun, TIAN Haibo. Basic directions and technological path for building 3D realistic geospatial scene in China. Geomatics and Information Science of Wuhan University, 47, 1568-1575(2022).

[11] PAN Zhuokun, HU Yueming, WANG Guangxing et al. Cognitions and perspectives in remote sensing of urban renewal monitoring. Remote Sensing Technology and Application, 35, 911-923(2020).

[12] LI Qingquan, SHAO Chengli, WAN Jianhua et al. Optimized views photogrammetry and ubiquitous real 3D data acquisition with the application case in Qingdao. Geomatics and Information Science of Wuhan University, 47, 1587-1597(2022).

[13] HAN J L, ZHU L J, GAO X et al. Urban scene LOD vectorized modeling from photogrammetry meshes. IEEE Transactions on Image Processing, 30, 7458-7471(2021).

[14] WANG Jiyang, WEN Gongjian, Jinjian LÜ et al. A review on reconstructing buildings. Remote Sensing Technology and Application, 24, 832-840(2009).

[15] YUAN Manrong, LI Xuemin, BI Xin et al. The new method of traffic sign design in street. Journal of Transportation Systems Engineering and Information Technology, 6, 134-136(2006).

[16] OVIEDO-TRESPALACIOS O, TRUELOVE V, WATSON B et al. The impact of road advertising signs on driver behaviour and implications for road safety： A critical systematic review. Transportation Research Part A： Policy and Practice, 122, 85-98(2019).

[17] ZHAO Yue. Research on the optimization method of 3D models of oblique photogrammetry. Geomatics & Spatial Information Technology, 44, 199-200(2021).

[18] TAN Renchun, LI Pengpeng, WEN Lin. Optimization of urban 3D modeling method for UAV tilt photography. Bulletin of Surveying and Mapping, 2016, 193-196.

[19] CHENG Xu, GE Liang, ZHANG Fan et al. Automated texture mapping of reality CSG building model with oblique aerial imagery. Acta Geodaetica et Cartographica Sinica, 52, 1528-1537(2023).

[20] MANCONI A, ZIEGLER M, BLÖCHLIGER T et al. Technical note： Optimization of unmanned aerial vehicles flight planning in steep terrains. International Journal of Remote Sensing, 40, 2483-2492(2019).

[21] BI Rui, GAN Shu, YUAN Xiping et al. UAV route planning and 3D modeling analysis in different terrain environment. Bulletin of Surveying and Mapping, 83-89(2022).

[22] ZHU Q, WANG Z D, HU H et al. Leveraging photogrammetric mesh models for aerial-ground feature point matching toward integrated 3D reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing, 166, 26-40(2020).

[23] XIE Linfu. Integration of aerial and ground data for optimized 3D modelling in urban areas(2019).

[24] UMMENHOFER B, BROX T. Point-based 3D reconstruction of thin objects, 969-976(2013).

[25] LIU S J, WANG C C L. Orienting unorganized points for surface reconstruction. Computers & Graphics, 34, 209-218(2010).

[26] LI S W, YAO Y, FANG T et al. Reconstructing thin structures of manifold surfaces by integrating spatial curves, 2887-2896(2018).

[27] DING J, XUE N, XIA G S et al. Object detection in aerial images： A large-scale benchmark and challenges. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44, 7778-7796(2022).

[28] LIU Xin, HUANG Jin, YANG Yingwei et al. Improved remote sensing rotating object detection based on CenterNet. Remote Sensing Technology and Application, 38, 1081-1091(2023).

[29] LI Yueshuai, ZHENG Hongwei, LUO Geping et al. Extraction and counting of populus euphratica crown using UAV images integrated with U-Net method. Remote Sensing Technology and Application, 34, 939-949(2019).

[30] CHU Yingjun. Template-based ear modeling and reconstruction(2020).

[31] SHORTEN C, KHOSHGOFTAAR T M. A survey on image data augmentation for deep learning. Journal of Big Data, 6, 60(2019).

[32] FENG Quanlong, CHEN Boan, LI Guoqing et al. A review for sample datasets of remote sensing imagery. National Remote Sensing Bulletin, 26, 589-605(2022).

[33] PANG J M, CHEN K, SHI J P et al. Libra R-CNN： Towards balanced learning for object detection, 821-830(2019).

[34] REN S Q, HE K M, GIRSHICK R et al. Faster R-CNN： Towards real-time object detection with region proposal networks, 1137-1149(2017).