Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data

Deep Learning Approach for Classifying the Built Year and Structure of Individual Buildings by Automatically Linking Street View Images and GIS Building Data

The built year and structure of individual buildings are crucial factors for estimating and assessing potential earthquake and tsunami damage. Recent advances in sensing and analysis technologies allow the acquisition of high-resolution street view images (SVIs) that present new possibilities for re...

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Bibliographic Details
Main Authors: Yoshiki Ogawa, Chenbo Zhao, Takuya Oki, Shenglong Chen, Yoshihide Sekimoto
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Building identification
deep learning
object detection
street view images (SVIs)
Swin transformer
Online Access:https://ieeexplore.ieee.org/document/10018300/

Internet

https://ieeexplore.ieee.org/document/10018300/

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