PCCN-MSS: Parallel Convolutional Classification Network Combined Multi-Spatial Scale and Spectral Features for UAV-Borne Hyperspectral With High Spatial Resolution Imagery

PCCN-MSS: Parallel Convolutional Classification Network Combined Multi-Spatial Scale and Spectral Features for UAV-Borne Hyperspectral With High Spatial Resolution Imagery

Hyperspectral remote sensing images with high spatial resolution (H<sup>2</sup> imagery) have an abundant spatial-spectral information, holding tremendous potential for remote sensing fine-grained monitoring and classification. However, challenges such as high spatial heterogeneity, seve...

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Bibliographic Details
Main Authors: Linhuan Jiang, Zhen Zhang, Bo-Hui Tang, Lehao Huang, Bingru Zhang
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Feature pyramid networks (FPNs)
image classification
parallel convolutional classification network
spectral attention (SA)
unmanned aerial vehicle (UAV)-borne hyperspectral imagery
Online Access:https://ieeexplore.ieee.org/document/10448531/

Internet

https://ieeexplore.ieee.org/document/10448531/

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