Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning

Semantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning

Abstract Semantic segmentation of high-resolution remote sensing images has emerged as one of the foci of research in the remote sensing field, which can accurately identify objects on the ground and determine their localization. In contrast, the traditional deep learning-based semantic segmentation...

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Bibliographic Details
Main Authors: Hua Zhang, Zhengang Jiang, Guoxun Zheng, Xuekun Yao
Format: Article
Language:English
Published: Springer 2023-11-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Deep learning
Convolutional neural network
Semantic segmentation
Transfer learning
High-resolution remote sensing images
Online Access:https://doi.org/10.1007/s44196-023-00364-w

Internet

https://doi.org/10.1007/s44196-023-00364-w

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