Research on Automatic Classification of Chinese Traditional Settlement Residential Buildings Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

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Research on Automatic Classification of Chinese Traditional Settlement Residential Buildings Based on Convolutional Neural Network

Published:2023-10-27 Issue: Volume: Page:261-266
ISSN:
Container-title:2023 4th International Conference on Machine Learning and Computer Application
language:
Short-container-title:

Author:

Fan Yong¹^ORCID,Xiao Wenjie¹^ORCID,Li Xuan¹^ORCID

Affiliation:

1. School of Civil Engineering and Architecture, University of Jinan, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3650215.3650261

Reference12 articles.

1. Research on Quantitative Measurement of Automatic Classification of Residential Buildings Under Deep Learning. J;ZHANG;Journal of Southwest China Normal University (Natural Science Edition),2023

2. Deep Learning for Hyperspectral Image Classification: An Overview. J;LI S;IEEE Transactions on Geoscience and Remote Sensing,2019

3. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network

4. JI Jing. 2015. Research on Classification and Recognition Algorithm of High Resolution Remote Sensing Image on Ancient Villages. Hunan University, Changsha.

5. GHOSH A, EHRLICH M, SHAH S, 2018. Stacked U-Nets for Ground Material Segmentation in Remote Sensing Imagery. IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 252-256.

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