基于卫星遥感图像的变化检测算法  

Change Detection Algorithm Based on Satellite Remote Sensing Images

作　　者：邹杨修 池明旻[1,2] 

机构地区：[1]复旦大学计算机科学技术学院上海市数据科学重点实验室电磁波信息科学教育部重点实验室,上海200433 [2]卫星海洋环境动力学国家重点实验室(国家海洋局第二海洋研究所),杭州310012

出　　处：《计算机系统应用》2017年第5期155-162,共8页Computer Systems & Applications

基　　金：国家自然科学基金重点项目(71331005);卫星海洋环境动力学国家重点实验室开放研究基金(SOED1509)

摘　　要：在石油勘探、开发炼制及运储过程中,由于意外事故或操作失误,造成原油或油品从作业现场储器里外泄,溢流向地面、水面、海滩或海面,同时由于油质的不同,形成薄厚等一片膜这现象称为溢油.大范围的海上溢油往往会对数个国家的生态、社会以及经济带来严重影响.本文基于卫星遥感数据,将变化检测引入海上溢油的问题中,研究实现对比了多个变化检测算法,最终实现了一个变化检测的溢油检测系统.实验表明,变化检测能有效地减少因地理位置、光照条件因素的影响,泛化能力显著地强于单幅图的分类方法,文章提供的系统能有效地将油区与水面、轻油区域与重油区域分割.In the process of oil exploration, development, refinement, transportation and storage, due to accidents or operational errors, the leakage of crude oil or oil products from the reservoir will flow to the ground, water, and the beach or sea. As the different thickness of oil, the leakage forms a film, the phenomenon is called oil spill. Large-scale oil spills often has a serious impact on national ecology, society and economy. Based on the satellite remote sensing data, this paper introduces the change detection into the problem of marine oil spilling, comparing several change detection algorithms with each other, and accomplishes an oil spill detection system. Results show that, the change detection can effectively reduce the impact of geographical location and lighting conditions, and it has a stronger generalization ability than the classification methods trained on single image. The research also shows the new method can effectively separate the sea water region with light oil or heavy oil region.

关 键 词：溢油检测 变化检测 机器学习 

分 类 号：TE19[石油与天然气工程—油气勘探] TP751[自动化与计算机技术—检测技术与自动化装置]