Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images

Learnable Gated Convolutional Neural Network for Semantic Segmentation in Remote-Sensing Images

Semantic segmentation in high-resolution remote-sensing (RS) images is a fundamental task for RS-based urban understanding and planning. However, various types of artificial objects in urban areas make this task quite challenging. Recently, the use of Deep Convolutional Neural Networks (DCNNs) with...

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Bibliographic Details
Main Authors: Shichen Guo, Qizhao Jin, Hongzhen Wang, Xuezhi Wang, Yangang Wang, Shiming Xiang
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
semantic segmentation
CNN
deep learning
remote sensing
gate function
multiscale feature fusion
Online Access:https://www.mdpi.com/2072-4292/11/16/1922

Internet

https://www.mdpi.com/2072-4292/11/16/1922

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