Semantic Segmentation of Remote Sensing Images Using Transfer Learning and Deep Convolutional Neural Network With Dense Connection

Semantic Segmentation of Remote Sensing Images Using Transfer Learning and Deep Convolutional Neural Network With Dense Connection

Semantic segmentation is an important approach in remote sensing image analysis. However, when segmenting multiobject from remote sensing images with insufficient labeled data and imbalanced data classes, the performances of the current semantic segmentation models were often unsatisfactory. In this...

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Bibliographic Details
Main Authors: Binge Cui, Xin Chen, Yan Lu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Dense connection
transfer learning
remote sensing image
multiscale feature fusion
semantic segmentation
UNet
Online Access:https://ieeexplore.ieee.org/document/9122009/

Internet

https://ieeexplore.ieee.org/document/9122009/

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