Building change detection after earthquake using multi-criteria decision analysis based on extracted information from high spatial resolution satellite images-Reference-Cited by-同舟云学术

Building change detection after earthquake using multi-criteria decision analysis based on extracted information from high spatial resolution satellite images

Published:2016-12-12 Issue:1 Volume:38 Page:82-99
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Janalipour Milad¹,Taleai Mohammad¹

Affiliation:

1. Faculty of Geodesy & Geomatics Engineering, K.N.Toosi University of Technology, Tehran, Iran

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1259673

Reference38 articles.

1. Ahadzadeh, S., M. Valadanzouj, S. Sadeghian, and S. Ahmadi. 2008. “Detection of Damaged Buildings after an Earthquake Using Artificial Neural Network Algorithm.” The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Beijing. Part B8: 369–372. http://www.isprs.org/proceedings/XXXVII/congress/8_pdf/2_WG-VIII-2/40.pdf

2. Automatic analysis of the difference image for unsupervised change detection

3. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering

4. Change Detection in Satellite Images Using a Genetic Algorithm Approach

5. Unsupervised Change Detection for Satellite Images Using Dual-Tree Complex Wavelet Transform

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