Automatic detection of damaged area of Iran earthquake by high-resolution satellite imagery

被引:0
|
作者
Sakamoto, M [1 ]
Takasago, Y [1 ]
Uto, K [1 ]
Kakumoto, S [1 ]
Kosugi, Y [1 ]
Doihara, T [1 ]
机构
[1] Tokyo Inst Technol, Interdisciplinary Grad Sch Sci & Engn, Midori Ku, Yokohama, Kanagawa 2268503, Japan
关键词
change detection; satellite images; earthquake; nonlinear mapping;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The huge earthquake of magnitude 6.3 had occurred at Bam city of southeastern Iran on December 26, 2003. We applied nonlinear mapping method for detection of collapsed building area due to Iran earthquake with high-resolution QuickBird satellite images. As a result, ROC evaluation based on the result of photo interpretation by operator showed that the detection ratio of the proposed method is 75-90% of changed area with 20% of false alarm.
引用
收藏
页码:1418 / 1421
页数:4
相关论文
共 50 条
  • [21] Automatic segmentation of high-resolution satellite imagery by integrating texture, intensity, and color features
    Hu, XY
    Tao, CV
    Prenzel, B
    PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING, 2005, 71 (12): : 1399 - 1406
  • [22] Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction
    Sohn, Gunho
    Dowman, Ian
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2007, 62 (01) : 43 - 63
  • [23] Semi-Automatic Road Detection in High-Resolution Satellite Images
    Karaomeroglu, Betul
    Baseski, Emre
    2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2014, : 1869 - 1872
  • [24] Detection, differentiation, and abundance estimation of penguin species by high-resolution satellite imagery
    Heather J. Lynch
    Richard White
    Andrew D. Black
    Ron Naveen
    Polar Biology, 2012, 35 : 963 - 968
  • [25] A HYBRID PIPELINE FOR DATE PALM TREE DETECTION IN HIGH-RESOLUTION SATELLITE IMAGERY
    Aljishi, Furat
    Alharbi, Abdulaziz
    de Weck, Olivier
    Habib, Abdulelah
    IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 6572 - 6575
  • [26] Vector-guided vehicle detection from high-resolution satellite imagery
    Jin, XY
    Davis, CH
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 1095 - 1098
  • [27] APPLICATION OF HOUGH FORESTS FOR THE DETECTION OF GRAVE MOUNDS IN HIGH-RESOLUTION SATELLITE IMAGERY
    Caspari, Gino
    Balz, Timo
    Gang, Liu
    Wang, Xinyuan
    Liao, Mingsheng
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 906 - 909
  • [28] GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery
    Klaric, Matthew N.
    Claywell, Brian C.
    Scott, Grant J.
    Hudson, Nicholas J.
    Sjahputera, Ozy
    Li, Yonghong
    Barratt, Seth T.
    Keller, James M.
    Davis, Curt H.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2013, 51 (04): : 2067 - 2086
  • [29] Detection, differentiation, and abundance estimation of penguin species by high-resolution satellite imagery
    Lynch, Heather J.
    White, Richard
    Black, Andrew D.
    Naveen, Ron
    POLAR BIOLOGY, 2012, 35 (06) : 963 - 968
  • [30] Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning
    Morales, Giorgio
    Huaman, Samuel G.
    Telles, Joel
    ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III, 2018, 11141 : 280 - 288