It involves the classification of pixels in hyperspectral images into different classes based on their spectral signature.
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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Firstly, considering the local similarity in spatial domain, we employ a large spatial window to get image blocks from hyperspectral image Secondly, each ...
Jan 27, 2022 · Next, the extracted information is convolved with random patches to extract spectral features. Finally, the spatial features and multi-level ...
Sep 4, 2023 · Hyperspectral image classification is vital for various remote sensing applications; however, it remains challenging due to the complex and ...
Oct 12, 2024 · Hyperspectral image (HSI) data has a wide range of valuable spectral information for numerous tasks. HSI data encounters challenges such as ...
Jul 8, 2020 · Therefore, hyperspectral images have the characteristics of high spectral resolution, many bands, and abundant information. The processing ...
May 14, 2024 · Unlike traditional methods, Hyperspectral Images (HSIs) provide a continuous spectrum through numerous narrow bands, enabling precise material ...
Jul 13, 2012 · In this article, a strategy named spatial-spectral information extraction (SSIE) is presented to accelerate hyperspectral image processing.
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Secondly, the dual-channel CNN have been used for fusing the spatial-spectral features, the fusion feature is input into the classifier, which effectively ...