STUDY ON EXTRACTION OF EARTHQUAKE DAMAGE INFORMATION BASED ON REGIONAL OPTIMIZING CHANGE DETECTION FROM REMOTE SENSING IMAGE

被引:8
|
作者
Yang, Haixia [1 ]
Dou, Aixia [1 ]
Zhang, Wei [1 ]
Huang, Shusong [1 ]
机构
[1] China Earthquake Adm, Inst Earthquake Sci, Beijing 100036, Peoples R China
来源
2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2014年
关键词
Change detection; Earthquake damage; Regional optimizing method;
D O I
10.1109/IGARSS.2014.6947433
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
After the devastating earthquake, change detection with pre-earthquake images and post-earthquake images can find the seriously damaged area quickly, which provides important information for rescue. Shen et al. (2011) researched the influence of image registration error on change detection with high resolution RS images[1]. Rathje (2005), Zhang et al. (2013) made an intense research on the method of change detection to acquire earthquake damage[2][3]. In this paper, we identify earthquake damage by means of regional optimizing correlation coefficient method with processed pre-earthquake ratio image and post-earthquake ratio image, compared with the result acquired only with single band image. The result shows that the effect of the new method is improved obviously.
引用
收藏
页数:4
相关论文
共 50 条
  • [31] A Segmentation Based Change Detection Method for High Resolution Remote Sensing Image
    Wu, Lin
    Zhang, Zhaoxiang
    Wang, Yunhong
    Liu, Qingjie
    PATTERN RECOGNITION (CCPR 2014), PT I, 2014, 483 : 314 - 324
  • [32] A novel approach for change detection in remote sensing image based on saliency map
    Tian, Minghui
    Wan, Shouhong
    Yue, Lihua
    COMPUTER GRAPHICS, IMAGING AND VISUALISATION: NEW ADVANCES, 2007, : 397 - +
  • [33] Remote Sensing Image Change Detection Based on General Deep Forest Module
    Xu, Gang
    Zhang, Yanqin
    Mo, Jian
    Chen, Yiming
    Wang, Yunge
    Wang, Peng
    IEEE ACCESS, 2024, 12 : 84815 - 84829
  • [34] Adaptive threshold change detection based on type feature for remote sensing image
    Liu H.
    Zhang L.
    Zhang, Lei (zhanglei@radi.ac.cn), 1600, Science Press (24): : 728 - 738
  • [35] Weighted Normalized Mutual Information based Change Detection in Remote Sensing Images
    Aktar, M.
    Mamun, M. A.
    Hossain, M. A.
    Shuvo, M. S. R.
    PROCEEDINGS OF THE 2016 19TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION TECHNOLOGY (ICCIT), 2016, : 257 - 260
  • [36] Remote Sensing Image Change Detection Method Based on Change Guidance and Bidirectional Mamba Network
    Li, Xue
    Li, Dong
    Fang, Jiandong
    Feng, Xueying
    ACTA OPTICA SINICA, 2025, 45 (05)
  • [37] Change Capsule Network for Optical Remote Sensing Image Change Detection
    Xu, Quanfu
    Chen, Keming
    Zhou, Guangyao
    Sun, Xian
    REMOTE SENSING, 2021, 13 (14)
  • [38] Image Registration and Change Detection for Artifact Detection in Remote Sensing Imagery
    Zelinski, Michael E.
    Henderson, John R.
    Held, Elizabeth L.
    ALGORITHMS AND TECHNOLOGIES FOR MULTISPECTRAL, HYPERSPECTRAL, AND ULTRASPECTRAL IMAGERY XXIV, 2018, 10644
  • [39] A VARIATIONAL BAYESIAN APPROACH TO REMOTE SENSING IMAGE CHANGE DETECTION
    Chen, Keming
    Li, Zhenglong
    Cheng, Jian
    Zhou, Zhixin
    Lu, Hanqing
    2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 1506 - 1509
  • [40] Semi Supervised Change Detection Method of Remote Sensing Image
    Nie, Wei
    Gou, Peng
    Liu, Yang
    Shrestha, Bhaskar
    Zhou, Tianyu
    Xu, Nuo
    Wang, Peng
    Du, Qiqi
    2022 IEEE 6TH ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2022, : 1013 - 1019