In this paper, we propose a supervised method based on the PCA network (PCANet) and Gaussian weighted SVM (Gaussian-SVM) for HSIs classification. First, we use ...
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In this paper, we propose a supervised method based on the PCA network (PCANet) and Gaussian weighted SVM (Gaussian-SVM) for HSIs classification. First, we use ...
Jul 4, 2023 · This paper presents a novel HSI classification network called MS-RPNet, ie, multiscale superpixelwise RPNet, which combines superpixel-based S 3 -PCA with two- ...
This paper presents a novel HSI classification network called MS-RPNet, i.e., multiscale superpixelwise RPNet, which combines superpixel-based S[sup.3]-PCA with ...
A supervised method based on the PCA network (PCANet) and Gaussian weighted SVM (Gaussian-SVM) for HSIs classification and using the method of threshold ...
Oct 22, 2024 · This work studies the use of the principal component analysis as a preprocessing technique for the classification of hyperspectral images.
Jan 27, 2022 · This paper proposes a new method based on a two-dimensional Gabor filter and random patches convolution (GRPC), which combines spectral-spatial features for ...
In this paper, the principal component analysis (PCA) and randomized principal component analysis (R-PCA) for the classification of hyperspectral images
Sep 19, 2022 · We propose a hybridized technique named Spatial-Spectral-Superpixelwise PCA-based Dense 2D-3D CNN Fusion Architecture (3SPCA-D-2D-3D-CNN),
In this paper, a Spatial-Spectral Kernel Principal Component Analysis Network (SS-KPCANet) was proposed. The network is developed from the original structure.