DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery

DE-Net: Deep Encoding Network for Building Extraction from High-Resolution Remote Sensing Imagery

Deep convolutional neural networks have promoted significant progress in building extraction from high-resolution remote sensing imagery. Although most of such work focuses on modifying existing image segmentation networks in computer vision, we propose a new network in this paper, Deep Encoding Net...

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Bibliographic Details
Main Authors: Hao Liu, Jiancheng Luo, Bo Huang, Xiaodong Hu, Yingwei Sun, Yingpin Yang, Nan Xu, Nan Zhou
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Remote Sensing
Subjects:
building extraction
deep learning
fully convolutional network
high-resolution remote sensing imagery
Online Access:https://www.mdpi.com/2072-4292/11/20/2380

Internet

https://www.mdpi.com/2072-4292/11/20/2380

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