An improved automatic detection method for earthquake-collapsed buildings from ADS40 image
- 6 August 2009
- journal article
- research article
- Published by Springer Nature in Chinese Science Bulletin
- Vol. 54 (18) , 3303-3307
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Building‐based damage detection due to earthquake using the watershed segmentation of the post‐event aerial imagesInternational Journal of Remote Sensing, 2008
- Rapid Damage Detection in the Bam Area Using Multitemporal SAR and Exploiting Ancillary DataIEEE Transactions on Geoscience and Remote Sensing, 2007
- Building Damage Mapping of the 2003 Bam, Iran, Earthquake Using Envisat/ASAR Intensity ImageryEarthquake Spectra, 2005
- Post‐earthquake building collapse: a comparison of government statistics and estimates derived from SPOT HRVIR dataInternational Journal of Remote Sensing, 2005
- Automatic detection of earthquake‐damaged buildings using DEMs created from pre‐ and post‐earthquake stereo aerial photographsInternational Journal of Remote Sensing, 2005
- Automatic detection of damaged area of Iran earthquake by high-resolution satellite imagery2004
- Detection of collapsed buildings caused by the 1999 Izmit, Turkey earthquake through digital analysis of post-event aerial photographsInternational Journal of Remote Sensing, 2004
- Use of Satellite SAR Intensity Imagery for Detecting Building Areas Damaged Due to EarthquakesEarthquake Spectra, 2004
- SPOT HRV data analysis for detecting earthquake-induced changes in Izmit, TurkeyInternational Journal of Remote Sensing, 2003
- Decorrelation of SAR data by urban damages caused by the 1995 Hyogoken-nanbu earthquakeInternational Journal of Remote Sensing, 2001