Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images

Improved CNN Classification Method for Groups of Buildings Damaged by Earthquake, Based on High Resolution Remote Sensing Images

Effective extraction of disaster information of buildings from remote sensing images is of great importance to supporting disaster relief and casualty reduction. In high-resolution remote sensing images, object-oriented methods present problems such as unsatisfactory image segmentation and difficult...

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Bibliographic Details
Main Authors: Haojie Ma, Yalan Liu, Yuhuan Ren, Dacheng Wang, Linjun Yu, Jingxian Yu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
earthquake
damaged groups of buildings
classification
remote sensing images
convolution neural network (cnn)
block vector data
Online Access:https://www.mdpi.com/2072-4292/12/2/260

Internet

https://www.mdpi.com/2072-4292/12/2/260

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