Concepedia

Image-based Damage Assessment

Image-Based Damage Assessment is a methodological framework within remote sensing-based disaster evaluation that utilizes pre- and post-event imagery to identify, classify, and quantify structural and environmental damage by leveraging visual indicators such as spectral, textural, and geometric changes.

635

Publications

28.2K

Citations

2K

Authors

714

Institutions

Publications per year

2017–2026

346

Parents

Publications

635

Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery

Dominik Brunner, Guido Lemoine, Lorenzo Bruzzone · IEEE Transactions on Geoscience and Remote Sensing · 2010 · 578 citations

, , +15

Building damage assessment for rapid disaster response with a deep object-based semantic change detection framework: From natural disasters to man-made disasters

Zhuo Zheng, Yanfei Zhong, Junjue Wang et al. · Remote Sensing of Environment · 2021 · 450 citations

, , +17

A segmentation and classification approach of IKONOS-2 imagery for land cover mapping to assist flood risk and flood damage assessment

C. J. van der Sande, S.M. de Jong, A. P. J. De Roo · International Journal of Applied Earth Observation and Geoinformation · 2003 · 337 citations

, , +17

Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning

Anand Vetrivel, M. Gerke, Norman Kerle et al. · ISPRS Journal of Photogrammetry and Remote Sensing · 2017 · 334 citations · Full text

, , +16

A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage Assessment

Francesca Bovolo, Lorenzo Bruzzone · IEEE Transactions on Geoscience and Remote Sensing · 2007 · 288 citations

, , +17

1–5 of 635

Authors

2K

  1. MM
    M. Matsuoka

    Tokyo Institute of Technology, Japan

    25 publications · 909 citations

    17

    h-index

  2. FY
    Fumio Yamazaki

    Chiba University, Japan

    27 publications · 883 citations

    17

    h-index

  3. NK
    Norman Kerle

    University of Twente, Netherlands

    15 publications · 1.3K citations

    14

    h-index

  4. SK
    Shunichi Koshimura

    Tohoku University, Japan

    14 publications · 581 citations

    13

    h-index

  5. EM
    Erick Mas

    Tohoku University, Japan

    10 publications · 475 citations

    10

    h-index

1–5 of 2K

Institutions

714

  1. Chinese Academy of Sciences

    Beijing, China

    15 h-index

    57 publications

    2.5K citations

  2. Chiba University

    Chiba, Japan

    15 h-index

    44 publications

    1.5K citations

  3. China Earthquake Administration

    Beijing, China

    14 h-index

    52 publications

    1.8K citations

  4. Wuhan University

    Wuhan, China

    13 h-index

    44 publications

    3.9K citations

  5. University of Twente

    Enschede, The Netherlands

    13 h-index

    40 publications

    4K citations

  6. Tohoku University

    Sendai, Japan

    12 h-index

    35 publications

    1.6K citations

  7. Tokyo Institute of Technology

    Tokyo, Japan

    12 h-index

    24 publications

    838 citations

  8. State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing

    Wuhan, China

    11 h-index

    42 publications

    3.8K citations

1–8 of 714

Venues

  1. Remote Sensing

    59 publications · 2.9K citations

    32

    h-index

  2. International Journal of Remote Sensing

    28 publications · 1.6K citations

    21

    h-index

  3. Earthquake Spectra

    19 publications · 962 citations

    17

    h-index

  4. Natural Hazards

    16 publications · 449 citations

    13

    h-index

  5. 11

    h-index

1–5