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

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