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In this paper, we propose a novel approach for real-time hyperspectral image classification using optimal spatial-spectral input.
In this paper, we propose a novel approach for real-time hyperspectral image classification using optimal spatial- spectral input.
Optimal Spatial-Spectral Input For Real-Time Hyperspectral Image ...
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Sep 12, 2022 · In this work, we propose a novel approach for real-time hyperspectral image classification using optimal spatial-spectral input. The optimal ...
Nov 6, 2024 · Hyperspectral imaging provides high-dimensional spatial–temporal–spectral information showing intrinsic matter characteristics.
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Oct 5, 2024 · By efficiently using both local and global spectral-spatial information, the proposed method offers a potent tool for HSI classification. We ...
Jan 26, 2024 · In the proposed model, two BERT branches work in parallel to investigate relations among pixels and spectral bands, respectively. In addition, ...
In this survey, we delve into a comprehensive examination of diverse deep learning models for hyperspectral image classification.
Aug 13, 2024 · In this paper, we innovatively propose S 2 Mamba, a spatial-spectral state space model for hyperspectral image classification, to excavate spatial-spectral ...
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Sep 11, 2020 · In the CNN based hyperspectral classification networks, the input hyperspectral image patch contains abundant spatial–spectral information.
In this paper, a dual-dimensional (ie, spatial and spectral) BERT (the so-called D 2 BERT) is proposed, which improves the existing BERT model.