王超,石爱业,顾爱华,熊允波,刘茜.一种结合阴影补偿的城市高分遥感影像分割方法[J].电子测量与仪器学报,2017,31(10):1687-1692
一种结合阴影补偿的城市高分遥感影像分割方法
High resolution remote sensing image segmentation method for urban scenes combined with shadow compensation
  
DOI:10.13382/j.jemi.2017.10.024
中文关键词:  高分辨率  遥感影像  图像分割  城市场景  WJSEG
英文关键词:high resolution  remote sensing image  image segmentation  urban scenes  WJSEG
基金项目:国家自然科学基金(61601229)、江苏省自然科学基金(BK20160966)、江苏省高校自然科学基金(16KJB510022)、江苏高校优势学科Ⅱ期建设工程资助项目
作者单位
王超 南京信息工程大学江苏省气象探测与信息处理重点实验室南京210044 
石爱业 河海大学计算机与信息学院南京211100 
顾爱华 盐城师范学院信息工程学院盐城224002 
熊允波 河海大学计算机与信息学院南京211100 
刘茜 南京信息工程大学江苏省气象探测与信息处理重点实验室南京210044 
AuthorInstitution
Wang Chao Jiangsu Key Laboratory of Meteorological Observation and InformationProcessing, Nanjing University of Information Science and Technology, Nanjing 210044, China 
Shi Aiye College of Computer and Information Engineering, Hohai University, Nanjing 211100, China 
Gu Aihua College of Information Science and Technology, Yancheng Teachers University, Yancheng 224002, China 
Xiong Yunbo College of Computer and Information Engineering, Hohai University, Nanjing 211100, China 
Liu Qian Jiangsu Key Laboratory of Meteorological Observation and InformationProcessing, Nanjing University of Information Science and Technology, Nanjing 210044, China 
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中文摘要:
      随着遥感影像空间分辨率的不断提高,由于阴影导致的弱边缘及虚假边缘等对于准确定位对象边缘所造成的干扰也更加突出。在传统的影像分割中进一步引入阴影补偿策略,在之前所提出的WJSEG算法基础上,通过将阴影视为出界点并利用卡方变换进行阴影识别,提出了一种结合阴影补偿的城市场景高分辨率遥感影像分割算法SWJSEG。实验表明,该方法能够有效应对阴影造成的干扰,有助于更加准确地定位对象边缘,使影像分割的精度及可靠性显著提高。
英文摘要:
      With the continuous improvement of the spatial resolution of remote sensing image, the interference of weak edges and false edges caused by the shadow to accurate extraction of the object outlines has been moreprotruding. Therefore, this paper introduces a shadow compensation strategy into image segmentation to propose a high resolution remote sensing image segmentation algorithm SWJSEG for urban scenes based on the previously proposed WJSEG algorithm. Firstly, the shadow is regarded as the point out of bounds to get the mean value and covariance matrix through the iterative strategy to realize the shadow detection and compensation based on Chi square transformation. On this basis, the multi scale segmentation algorithm WJSEG is adopted to obtain the final segmentation result. The experimental results show that this method proposed in this papercan effectively deal with the interference caused by the shadow and improve the accuracy and reliability of image segmentation.
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