Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network

Urban building segmentation is a prevalent research domain for very high resolution (VHR) remote sensing; however, various appearances and complicated background of VHR remote sensing imagery make accurate semantic segmentation of urban buildings a challenge in relevant applications. Following the b...

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Bibliographic Details
Main Authors: Yaning Yi, Zhijie Zhang, Wanchang Zhang, Chuanrong Zhang, Weidong Li, Tian Zhao
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
semantic segmentation
urban building extraction
deep convolutional neural network
VHR remote sensing imagery
U-Net
Online Access:https://www.mdpi.com/2072-4292/11/15/1774

Internet

https://www.mdpi.com/2072-4292/11/15/1774

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