Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 39-43, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-39-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 39-43, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-39-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

EARTHQUAKE BUILDING DAMAGE MAPPING BASED ON FEATURE ANALYZING METHOD FROM SYNTHETIC APERTURE RADAR DATA

L. An1,3, J. Zhang2, and L. Gong2 L. An et al.
  • 1Institute of Engineering Mechanics, Key Laboratory of Earthquake Engineering and Engineering Vibration, China Earthquake Administration (CEA), China
  • 2Institute of Crustal Dynamics, China Earthquake Administration (CEA), China
  • 3Earthquake Administration of Tianjin Municipality, China

Keywords: Building Damage Assessment, Earthquake Emergency, Feature Analysing, SAR

Abstract. Playing an important role in gathering information of social infrastructure damage, Synthetic Aperture Radar (SAR) remote sensing is a useful tool for monitoring earthquake disasters. With the wide application of this technique, a standard method, comparing post-seismic to pre-seismic data, become common. However, multi-temporal SAR processes, are not always achievable. To develop a post-seismic data only method for building damage detection, is of great importance. In this paper, the authors are now initiating experimental investigation to establish an object-based feature analysing classification method for building damage recognition.