摘要
随着“大数据”科技时代的来临和国内外航空航天遥感技术的不断发展,亚米级高分辨率遥感影像将作为城市规划、环境监测、土地利用、矿点监测等领域的主要数据源。目前类似于第一次全国地理国情普查的项目越来越多,项目工期紧、任务重,采用传统的人机交互式目视解译方法采集数据成本高、效率低,不能满足项目的新要求,亟须研究遥感影像变化自动检测算法,以实现遥感影像数据的自动识别。本文以高分辨率航空航天遥感影像为基础,基于主流遥感影像解译软件进行二次开发,研发了一套遥感影像自动提取、解译软件,使其能对影像变化区域进行自动提取与解译,最终形成符合地理国情监测标准规范要求的现状成果。研发的软件解决了传统目视解译方法的耗时耗力、精度与效率低等问题。将软件生成的自动提取、解译结果与前期人工解译成果进行对比分析,实验结果表明,该软件能较准确地发现变化区域,自动解译成果可应用于环保卫片执法、应急测绘等快速响应场景。
With the advent of the era of"big data"technology and the development of aerospace remote sensing technology,high-resolution remote sensing images of sub-meter level will be used as the main data sources in urban planning,environmental monitoring,land use,mine site monitoring and other fields.At present,there are more and more projects similar to the First National Geographic Survey,which has a tight time limit and heavy tasks.The traditional human-computer interactive visual interpretation method for data acquisition is expensive and inefficient and can′t meet the new requirements of the project.It is urgent to study the automatic detection algorithm of remote sensing image changes to achieve the automatic recognition of remote sensing image.Using the secondary development technology of the mainstream remote sensing image interpretation software,this paper develops a set of remote sensing image automatic extraction and interpretation software,which can automatically extract and interpret the image changing areas,and finally forms the status that meets the requirements of the geographic national condition monitoring standards.The software solves the problems of time-consuming,labor-consuming,low accuracy and efficiency of traditional visual interpretation methods.At the same time,compared with the previous manual interpretation results,the software can find the changing areas more accurately,and the automatic interpretation results can be applied to rapid response scenarios such as environmental protection,emergency mapping and so on.
作者
刘清
吴文魁
张斌才
LIU Qing;WU Wenkui;ZHANG Bincai(The Geomantic Center of Gansu Province,Lanzhou 730000,China)
出处
《测绘与空间地理信息》
2020年第12期122-125,129,共5页
Geomatics & Spatial Information Technology
关键词
遥感影像
自动解译
变化检测
目视解译
快速响应
remote sensing images
automatic interpretation
change detection
visual interpretation
rapid response
