Resnet-Unet considering Patches (RUP) network to solve the problem of patches due to shadows in extracting building top information-Reference-Cited by-同舟云学术

Resnet-Unet considering Patches (RUP) network to solve the problem of patches due to shadows in extracting building top information

Published:2023-06-05 Issue: Volume: Page:1-21
ISSN:1449-8596
Container-title:Journal of Spatial Science
language:en
Short-container-title:Journal of Spatial Science

Author:

Yang Dongliang¹,Liu Zichen²,Feng Dejun²³,Xie Yakun²,Song Xudong²⁴,Feng Ziqin²

Affiliation:

1. Tangshan Institute, Southwest Jiaotong University, Tangshan, China

2. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, China

3. State-Province Joint Engineering Laboratory of Spatial Information Technology of High-Speed Rail Safety, Southwest Jiaotong University, Chengdu, China

4. Chengdu Institute of Natural Resources Survey and Utilization, Chengdu, China

Funder

National Science and Technology Basic Resources Survey Project

Publisher

Informa UK Limited

Subject

Atmospheric Science,General Energy,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/14498596.2023.2217782

Reference29 articles.

1. Automatic Building Extraction on Satellite Images Using Unet and ResNet50

2. An automatic trough line identification method based on improved UNet

3. A Stacking Ensemble Deep Learning Model for Building Extraction from Remote Sensing Images

4. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

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