结合阴影补偿的对象级高分辨率遥感影像多尺度变化检测  

Object-based change detection method for high-resolution remote sensing image combining shadow compensation and multi-scale fusion

作　　者：王超[1] 张雪红[2] 石爱业[3] 厉丹[4] 申祎 WANG Chao;ZHANG Xuehong;SHI Aiye;LI Dan;SHEN Yi(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;School of Geography and Remote Sensing,Nanjing University of Information Science and Technology,Nanjing 210044,China;College of Computer and Information Engineering,Hohai University,Nanjing 211100,China;Key Laboratory of Intelligent Industrial Control Technology of Jiangsu Province,Xuzhou Institute of Technology,Xuzhou 221000,China)

机构地区：[1]南京信息工程大学电子与信息工程学院,江苏南京210044 [2]南京信息工程大学地理与遥感学院,江苏南京210044 [3]河海大学计算机与信息学院,江苏南京211100 [4]徐州工程学院江苏省智慧工业控制技术重点建设实验室,江苏徐州221000

出　　处：《通信学报》2018年第9期159-167,共9页Journal on Communications

基　　金：国家自然科学基金资助项目(No.61601229);江苏省自然科学基金资助项目(No.BK20160966);中国博士后科学基金资助项目(No.2017M611866);江苏省高等学校优势学科(No.1081080015001);江苏省智慧工业控制技术重点建设实验室开放课题基金资助项目(No.JSKLIIC201705)~~

摘　　要：阴影是遥感影像的解译标志之一,然而在高分辨率遥感影像变化检测中,阴影所产生的"伪变化"是导致错检的主要原因之一。为此,提出了一种结合阴影补偿与多尺度融合的对象级高分遥感影像变化检测方法。在面向对象的变化检测框架下,首先提取遥感影像中的地物阴影,然后对多尺度变化检测进行阴影补偿。其中,通过构建一种尺度间互信息最小化的目标函数实现了尺度参数的自适应提取。在此基础上,结合所提出的阴影补偿因子,设计了一种基于D-S证据理论的决策级多尺度融合策略,并进一步对变化强度等级进行了划分。实验证明,该方法能够较好地解决阴影所导致的错检问题,显著提高变化检测精度。As an interpreting symbol of remote sensing images,shadow,however,brings about“pseudo changes”,which is one of the main sources leading to error detection in high-resolution remote sensing image change detection.For this issue,an object-based high-resolution remote sensing image change detection method was proposed combining with shadow compensation and multi-scale fusion.In the object orientation detection framework,the shadows in the remote sensing images were extracted.Then multi-scale change detection was conducted with shadow compensation.In the process,an objective function was constructed of mutual scale information minimization to realize the adaptive extraction of scale parameters.Based on this,combined with the shadow compensation factor,a multi-scale decision-level fusion strategy built on D-S theory of evidence was designed,and the levels of change intensity were further divided.The experiments show that the method is effective in solving the error detection problem caused by shadow,significantly improving the precision of change detection.

关 键 词：高分辨率 遥感影像 变化检测 阴影补偿 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]