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采用影像密集匹配点云开展变化检测能有效发现建筑物高度的变化。提出了一种融合深度神经网络与空间体素的影像密集匹配点云建筑物变化检测方法。首先构建注意力驱动的建筑物点云提取深度神经网络,再分别利用布料模拟滤波算法和植被指数剔除地面点和植被点云,最后通过空间体素比较提取建筑物点云变化。实验结果表明,该方法的漏检率为0%,且虚警率比传统方法降低了48.64%,说明其具有大幅提升违章建筑发现效率的潜力,能够满足实际生产需求。
多时相遥感影像的变化检测研究现状与展望[J]. 张祖勋;姜慧伟;庞世燕;胡翔云.测绘学报,2022(07)
基于遥感影像的违章建筑监测实践[J]. 段志强;张娜;王挺;余磊;肖青奕.地理空间信息,2020(10)
基于UAV影像密集匹配点云多层次分割的建筑物层高变化检测[J]. 杨钰琪;陈驰;杨必胜;胡平波;崔扬.武汉大学学报(信息科学版),2021(04)
多时相遥感影像变化检测方法综述[J]. 眭海刚;冯文卿;李文卓;孙开敏;徐川.武汉大学学报(信息科学版),2018(12)
Voxel Change: Big Data–Based Change Detection for Aerial Urban LiDAR of Unequal Densities[J]. Aljumaily Harith;Laefer Debra F.;Cuadra Dolores;Velasco Manuel.Journal of Surveying Engineering,2021
An Object-Based Bidirectional Method for Integrated Building Extraction and Change Detection between Multimodal Point Clouds[J]. Chenguang Dai;Zhenchao Zhang;Dong Lin.Remote Sensing,2020
Robust Attentional Aggregation of Deep Feature Sets for Multi-view 3D Reconstruction[J]. Bo Yang;Sen Wang;Andrew Markham;Niki Trigoni.International Journal of Computer Vision,2020
Extraction of urban building damage using spectral, height and corner information from VHR satellite images and airborne LiDAR data[J]. Xue Wang;Peijun Li.ISPRS Journal of Photogrammetry and Remote Sensing,2020
Randla-Net: Efficient semantic segmentation of large-scale point clouds[J]. Hu Q.;Yang B.;Xie L.;Rosa S.;Guo Y.;Wang Z.;Trigoni N.;Markham A..Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,2020
Building Change Detection from Bi-Temporal Dense-Matching Point Clouds and Aerial Images[J]. Shiyan Pang;Xiangyun Hu;Zhongliang Cai;Jinqi Gong;Mi Zhang.Sensors,2018
Integrated Change Detection and Classification in Urban Areas Based on Airborne Laser Scanning Point Clouds[J]. Thi Huong Giang Tran;Camillo Ressl;Norbert Pfeifer.Sensors,2018
3D change detection – Approaches and applications[J]. Rongjun Qin;Jiaojiao Tian;Peter Reinartz.ISPRS Journal of Photogrammetry and Remote Sensing,2016
FAST AND ROBUST SEGMENTATION AND CLASSIFICATION FOR CHANGEDETECTION IN URBAN POINT CLOUDS[J]. X. Roynard;J.-E. Deschaud;F. Goulette.ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,2016
An Easy-to-Use Airborne LiDAR Data Filtering Method Based on Cloth Simulation[J]. Wuming Zhang;Jianbo Qi;Peng Wan;Hongtao Wang;Donghui Xie;Xiaoyan Wang;Guangjian Yan.Remote Sensing,2016
Using Octrees to Detect Changes to Buildings and Trees in the Urban Environment from Airborne LiDAR Data[J]. Hao Xu;Liang Cheng;Manchun Li;Yanming Chen;Lishan Zhong.Remote Sensing,2015
Verification of color vegetation indices for automated crop imaging applications[J]. George E. Meyer;João Camargo Neto.Computers and Electronics in Agriculture,2008
三维信息辅助的建筑物自动变化检测若干关键技术研究[D]. 庞世燕.武汉大学,2015(02)
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