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Feb 22, 2024 · To address this problem, this paper proposes a lightweight Inter layer Short Multiscale Dense Network (IMSDN) method for hyperspectral image ...
Jan 2, 2024 · Multiscale Dense Network (MSDN) is a deep convolutional neural network method proposed to solve the loss of fine features in hyperspectral ...
Mar 18, 2024 · ABSTRACT Multiscale Dense Network (MSDN) is a deep convolutional neural network method proposed to solve the loss of fine features in ...
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What is hyperspectral image HSI classification?
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Multiscale Dense Network (MSDN) is a deep convolutional neural network method proposed to solve the loss of fine features in hyperspectral remote sensing images ...
This paper proposed a multi-scale dense network (MSDN) for HSI classification that made full use of different scale information in the network structure and ...
2019, IEEE Geoscience and Remote Sensing Letters. A Lightweight Interlayer Multiscale Dense Network for Classifying Hyperspectral Remote Sensing Images. Dan ...
Abstract—Hyperspectral Image (HSI) classification based on deep learning has been an attractive area in recent years. However,.
Missing: Interlayer | Show results with:Interlayer
This paper introduces a lightweight hyperspectral image classification method founded on multiscale feature aggregation and a dual attention mechanism.
Missing: Interlayer | Show results with:Interlayer
This article proposes a double-branch multi-scale dual-attention (DBMSDA) network that fully extracts spectral and spatial information from HSIs and fuses them ...
Missing: Lightweight | Show results with:Lightweight
2024: A Lightweight Interlayer Multiscale Dense Network for Classifying Hyperspectral Remote Sensing Images IEEE Access 12: 38542-38550 · Jiang, X.; Jiang, J ...