An End-to-End Atrous Spatial Pyramid Pooling and Skip-Connections Generative Adversarial Segmentation Network for Building Extraction from High-Resolution Aerial Images

An End-to-End Atrous Spatial Pyramid Pooling and Skip-Connections Generative Adversarial Segmentation Network for Building Extraction from High-Resolution Aerial Images

Automatic building extraction based on high-resolution aerial imagery is an important challenge with a wide range of practical applications. One of the mainstream methods for extracting buildings from high-resolution images is deep learning because of its excellent deep feature extraction capability...

Full description

Bibliographic Details
Main Authors: Mingyang Yu, Wenzhuo Zhang, Xiaoxian Chen, Yaohui Liu, Jingge Niu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
high-resolution aerial images
generative adversarial network
deep learning
WHU building dataset
China typical cities building dataset
semantic segmentation
Online Access:https://www.mdpi.com/2076-3417/12/10/5151

Internet

https://www.mdpi.com/2076-3417/12/10/5151

Similar Items