Building extraction from remote sensing images using deep residual U-Net-Reference-Cited by-同舟云学术

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Building extraction from remote sensing images using deep residual U-Net

Published:2022-01-02 Issue:1 Volume:55 Page:71-85
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Wang Haiying¹²³^ORCID,Miao Fang¹

Affiliation:

1. College of Geophysics, Chengdu University of Technology, Chengdu China

2. College of Earth Science, China West Normal University, Nanchong China

3. Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion in Dry Valleys, China West Normal University, Nanchong China

Publisher

Informa UK Limited

Subject

General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/22797254.2021.2018944

Reference63 articles.

1. IMPROVED BUILDING DETECTION USING TEXTURE INFORMATION

2. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

3. Learning Deep Architectures for AI

4. Shadow-based Building Detection and Segmentation in High-resolution Remote Sensing Image

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