基于无人机影像的辽宁农居建筑物提取技术与应用研究  

Research on Extraction Technology and Application of Rural Residential Buildings in Liaoning Province Based on UAV Image

作　　者：于浩[1] 贾晓东[1] 庞巧 周小龙 Yu Hao;Jia Xiaodong;Pang Qiao;Zhou Xiaolong(Earthquake Administration of Liaoning Province,Shenyang 110034,China;Shaanxi Beidou Environmental Information Industry Co.,Ltd.,Xi'an 710065,China;Gansu Institute of Geological Environment Monitoring,Lanzhou 730050,China)

机构地区：[1]辽宁省地震局,沈阳110034 [2]陕西北斗环境信息产业有限公司,西安710065 [3]甘肃省地质环境监测院,兰州730050

出　　处：《震灾防御技术》2023年第1期96-106,共11页Technology for Earthquake Disaster Prevention

基　　金：中国地震局地震应急青年重点任务(CEA EDEM-202007)。

摘　　要：本研究以实地调研数据为基准,无人机影像数据分析为验证,进行了基于无人机识别能力范畴的辽宁农居建筑结构类型划分,并根据区域结构类型比例、影像特性等指标优化了农居遥感解译标志整体参数,提取了不同建筑结构的不同解译标志阈值区间,并基于无人机低空正射影像DOM、数字表面模型DSM制定改进型DSM提取算法处理流程与代码,利用Python语言及开发环境完成了遥感影像要素提取与评估系统开发应用。通过最优组合解译标志获取无人机影像解译一致性系数Kappa=0.723,表明制定的解译标志特征对获得具有较好一致性的房屋结构类型具备一定的可行性。以改进型DSM提取算法为核心的建筑物提取软件提取建筑的整体精度为75%,基本满足地震应急需求。Based on the field survey data and the analysis of UAV image data,this study formulates the classification of Liaoning rural residential building structure types based on the category of UAV recognition ability,optimizes the overall parameters of Liaoning rural residential remote sensing interpretation signs according to the proportion of regional structure types and image characteristics,extracts the threshold interval of different interpretation signs under different building structures,and formulates the processing flow and code writing of improved DSM extraction algorithm based on UAV DOM(Digital Orthophoto Map)DSM(digital surface model)image data,and completes the development and Application Research of remote sensing image element extraction and evaluation system by using Python language and development environment.The results show that the interpretation consistency coefficient kappa=0.723 is obtained through the highest combined interpretation mark,which shows that the interpretation mark features are feasible to obtain the house structure type with good consistency.The overall accuracy of building extraction software with improved DSM extraction algorithm as the core is 75%,which basically meets the practical application needs of earthquake emergency.This research is of great practical significance to improve the rapid evaluation of post earthquake in this area.

关 键 词：建筑物 结构类型 解译标志 DSM 提取 系统开发 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置] P315.9[自动化与计算机技术—控制科学与工程]