Sep 10, 2018 · In this paper, a new feature fusion framework-deep multiple feature fusion (DMFF)-is proposed for the classification of the hyperspectral image.

Nov 3, 2023 · We propose a multi-layer feature fusion module (MLFF) to fully mine and fuse the representative spectral and spatial features and sequence relationship.

Nov 1, 2023 · This paper proposes a Multi-Feature Fusion of 3D-CNN and Graph Attention Network MFFCG. The algorithm consists of two elements: the 3D-CNN, which produces good ...

Oct 15, 2018 · In this paper, a new feature fusion framework—deep multiple feature fusion (DMFF)—is proposed for the classification of the hyperspectral image.

Jan 6, 2023 · This paper proposes a new Double-Branch Feature Fusion Transformer model for HSI classification. We introduce Transformer into the process of HSI on account of ...

A deep feature fusion network (DFFN) is proposed for HSI classification that fuses the outputs of different hierarchical layers, which can further improve ...

Classification methods that are based on hyperspectral images (HSIs) are playing an increasingly significant role in the processes of target detection, ...

A multi-level feature extraction network (MLFEN) for HSI classification is proposed. By combining the capability of CNN's local spatial–spectral feature capture ...

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To address this problem, this paper proposes a novel HSI classification method based on a multi-feature fusion strategy. The spectral-spatial features are first ...