RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation

RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Images-Based Semantic Segmentation

For semantic segmentation of remote sensing images (RSI), trade-off between representation power and location accuracy is quite important. How to get the trade-off effectively is an open question, where current approaches of utilizing very deep models result in complex models with large memory consu...

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Bibliographic Details
Main Authors: Shuang He, Xia Lu, Jason Gu, Haitong Tang, Qin Yu, Kaiyue Liu, Haozhou Ding, Chunqi Chang, Nizhuan Wang
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
graph convolutional network (GCN)
encoder
decoder
feature fusion
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9745103/

Internet

https://ieeexplore.ieee.org/document/9745103/

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