Object-based classification of earthquake damage from high-resolution optical imagery using machine learning-Reference-Cited by-同舟云学术

Object-based classification of earthquake damage from high-resolution optical imagery using machine learning

Author:

Bialas James¹,Oommen Thomas¹,Rebbapragada Umaa²,Levin Eugene³

Affiliation:

1. Michigan Technological University, Geological and Mining Engineering and Sciences, 1400 Townsend Drive, Houghton, Michigan 49931, United States

2. Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, California 91109, United States

3. Michigan Technological University, School of Technology, 1400 Townsend Drive, Houghton, Michigan 49931, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference17 articles.

1. GIS and image understanding for near-real-time earthquake damage assessment;Gamba,1998

3. A comparison of the performance of pixel-based and object-based classifications over images with various spatial resolutions;Gao,2008

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