Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model

Semantic Segmentation of Hyperspectral Remote Sensing Images Based on PSE-UNet Model

With the development of deep learning, the use of convolutional neural networks (CNN) to improve the land cover classification accuracy of hyperspectral remote sensing images (HSRSI) has become a research hotspot. In HSRSI semantics segmentation, the traditional dataset partition method may cause in...

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Bibliographic Details
Main Authors: Jiaju Li, Hefeng Wang, Anbing Zhang, Yuliang Liu
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
hyperspectral remote sensing images
dataset partition method
convolutional neural networks
PSE-UNet
Hughes phenomenon
semantic segmentation
Online Access:https://www.mdpi.com/1424-8220/22/24/9678

Internet

https://www.mdpi.com/1424-8220/22/24/9678

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