分布式可见光遥感影像动态目标检测与分析系统

A Distributed Remote Sensing Image Target Detection and Analysis System

遥感影像数据能够提高海域、机场等领域的预警预测、指挥调度等能力,基于自动化目标检测,能够快速实现图像非结构化数据向情报信息的转化,节省人力资源,提高信息获取效率。然而,目前针对遥感影像的目标检测技术研究仅仅限于检测算法本身,并没有对检测出的目标进行定位,更没有对目标的时间、空间信息进行关联分析。针对该问题,文章实现了一种分布式可见光遥感影像动态目标检测与分析系统,能够对海量遥感影像数据进行分布式存储管理。该方法能够实现多批次遥感影像数据并行目标检测,并能够对检测出的目标进行检索筛选、时空统计分析以及异常检测等。

Remote sensing image data can improve the ability of early warning,forecasting,command and dispatching in areas such as sea and airports.Based on automated target detection,it can quickly realize the transformation of unstructured image data into structured intelligence,save human resources and improve intelligence acquisition efficiency.The current target detection research is limited to the detection algorithm.It does not locate the detected targets and does not provide analysis functions for the targets with related time and space information.For this problem,this paper implements a distributed target detection and analysis system for remote sensing image.The system can perform distributed storage and management on massive remote sensing image data,realize multi-batch image data processing and provide index and search functions,time space statistical analysis functions,and abnormal detection functions and so on.