Incorporating Attention Mechanism, Dense Connection Blocks, and Multi-Scale Reconstruction Networks for Open-Set Hyperspectral Image Classification

Incorporating Attention Mechanism, Dense Connection Blocks, and Multi-Scale Reconstruction Networks for Open-Set Hyperspectral Image Classification

Hyperspectral image classification plays a crucial role in various remote sensing applications. However, existing methods often struggle with the challenge of unknown classes, leading to decreased classification accuracy and limited generalization. In this paper, we propose a novel deep learning fra...

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Bibliographic Details
Main Authors: Huaming Zhou, Haibin Wu, Aili Wang, Yuji Iwahori, Xiaoyu Yu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Remote Sensing
Subjects:
hyperspectral image classification
unknown class handling
dense connection blocks
attention mechanisms
multi-scale deconvolution
extreme value theory
Online Access:https://www.mdpi.com/2072-4292/15/18/4535

Internet

https://www.mdpi.com/2072-4292/15/18/4535

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