Earthquake-induced damage classification from postearthquake satellite image using spectral and spatial features with support vector selection and adaptation-Reference-Cited by-同舟云学术

Earthquake-induced damage classification from postearthquake satellite image using spectral and spatial features with support vector selection and adaptation

Published:2015-08-20 Issue:1 Volume:9 Page:096017
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Taskin Gulsen¹,Ersoy Okan K.²,Kamasak Mustafa E.³

Affiliation:

1. Istanbul Technical University, Institute of Earthquake Engineering and Disaster Management, Earthquake Engineering, Istanbul 34469, Turkey

2. Purdue University, School of Electrical and Computer Engineering, West Lafayette, Indiana 47907-2035, United States

3. Istanbul Technical University, Faculty of Computer and Informatics, Department of Computer Engineering, Istanbul 34469, Turkey

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

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1. A Review on Multi‐temporal Earthquake Damage Assessment Using Satellite Images;Change Detection and Image Time Series Analysis 2;2021-12-03

2. Improving damage classification via hybrid deep learning feature representations derived from post-earthquake aerial images;International Journal of Image and Data Fusion;2020-12-30

3. Automatic detection of seismic damages from very high monoscopic spatial images;Asian Journal of Civil Engineering;2020-05-11

4. A Rapid Public Health Needs Assessment Framework for after Major Earthquakes Using High-Resolution Satellite Imagery;International Journal of Environmental Research and Public Health;2018-05-30

5. Earthquake Damage Visualization (EDV) Technique for the Rapid Detection of Earthquake-Induced Damages Using SAR Data;Sensors;2017-01-27