Sep 1, 2020 · This study proposes a novel deep feature aggregation network for HSI classification based on a 3-D convolutional neural network from the ...
This study proposes a novel deep feature aggregation network (DFAN) for HSI classification based on a 3D-convolutional neural network (3D-CNN) from the ...
A novel deep feature aggregation network for HSI classification based on a 3-D convolutional neural network from the perspective of feature aggregation ...
This study proposes a novel deep feature aggregation network for HSI classification based on a 3-D convolutional neural network from the perspective of feature ...
Dec 15, 2024 · The paper proposed a novel cross-modal feature aggregation and enhancement network for the joint classification of HSI and LiDAR data.
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Which neural networks for hyperspectral classification?
What is hyperspectral image classification?
What is supervised classification of hyperspectral data?
We present a new method known as Aggregation Multi-Hierarchical Feature Network (AMHFN) to tackle complex challenges in hyperspectral image classification. The ...
Multiscale Feature Aggregation Capsule Neural Network for Hyperspectral Remote Sensing Image Classification. Language: English; Authors: Lei, Runmin1 (AUTHOR) ...
It effectively aggregates local and global spatial-spectral features to achieve efficient classification. Specifically, we design a dual feature aggregation ( ...
This method constructs the spatial feature extraction branch and spectral feature extraction branch respectively by attention mechanism and multi-grouping ...
Nov 15, 2023 · Finally, the MFAM is designed to aggregate features at different levels, enhancing the model's feature representation ability. Experimental ...