低空遥感影像序列中典型灾损地物优化建模与演进评估模型研究

Based on extremely high resolution, high degree overlap of image sequences acquisition from flexible, low-altitude remote sensing platforms, for the significant demand of emergency monitoring and disaster rapid assessment of damaged buildings and lifeline (roads and railways) in solid earth hazards (earthquakes, landslides and debris flow, etc.), this research project systematically studies: 1) efficient generation algorithm and quality evaluation model of 3D point cloud data of disaster-damaged landmarks from the low-altitude remote sensing image sequences, 2) adaptive cluster model filter for classification and structural features reasoning algorithm of 3D point cloud of disaster-damaged landmarks, 3) optimize modeling and change detection algorithms of scattered 3D point cloud data in complex disaster environment, 4) gray relational analysis, disaster dynamic assessment and its experimental study on application of disaster-damaged landmarks. To realize quickly and efficiently three-dimensional information access and data quality control, fine classification and structural feature extraction, optimization modeling and change detection, disaster gray relational analysis and evolution assessment of disaster-damaged landmarks in complex disaster environment of the solid earth hazards. Hereby, to lay a foundation of low altitude remote sensing image sequences processing methods, to provide the new methods for Chinese solid earth disaster monitoring, to offer the new models for the rapid disaster assessment, to provide a theoretical and methodological support for the national disaster prevention and reduction, disaster resistant and relief.

面向固体地球灾害（地震、滑坡、泥石流等）中建筑物和生命线工程（公路和铁路）的灾害应急监测与灾情快速评估重大需求，利用灵活机动的低空遥感观测平台获取超高分辨率、高重叠度的影像序列数据基础上，系统地研究：1）低空遥感影像序列中典型灾损地物三维点云数据高效生成算法及其质量评价模型，2）灾损地物三维点云自适应簇模型滤波分类与结构特征推理算法，3）复杂灾场环境下散乱三维点云数据中灾损地物优化建模与变化监测算法，4）灾损地物灰色关联分析、灾情动态评估及其应用试验。在固体地球灾害复杂灾场环境下，实现灾损地物三维信息快速高效获取与数据质量控制、灾损地物精细分类与结构特征提取、灾损地物优化建模与变化监测、灾情灰色关联分析与演进评估成套算法与技术体系。据此，为低空遥感影像序列数据处理奠定方法与技术基础，为国家重大固体地球灾害监测提供新方法，为灾情快速评估提供新模型，为国家防灾减灾、抗灾救灾提供理论与方法支持。

面向固体地球灾害（地震、滑坡、泥石流等）中建筑物和生命线工程（公路、铁路及桥梁）的灾害应急监测与灾情快速评估重大需求，系统地研究了：1）基于低空遥感序列影像的灾损地物三维点云数据高效生成算法及其质量评价模型；2）灾损地物多尺度三维几何信息分类与结构特征提取算法；3）复杂灾场环境下杂乱三维点云数据中典型灾损地物优化建模与变化监测；4）灾损地物灰色关联分析与灾情演进评估模型。着力解决了低空遥感平台序列影像中提取灾损地物结构特征的尺度问题和杂乱点云数据优化建模问题。据此，为低空遥感序列影像数据处理奠定方法与技术基础，为国家重大固体地球灾害监测提供新方法，为灾情快速评估提供了新模型，为国家防灾减灾、抗灾救灾提供了理论与方法支持。研究期间，课题组发表学术论文13篇，其中EI 收录学术论文9篇，SCI收录学术论文3篇，申报发明专利3项，培养教育部“新世纪优秀人才支持计划”1人，博士后出站1名，获得省部市级奖励3项。