Spatial|Aware Network for Hyperspectral Image Classification

Spatial-Aware Network for Hyperspectral Image Classification - MDPI

Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge number of ...

Spatial-Spectral Network for Hyperspectral Image Classification: A 3 ...

This paper proposes a unified network framework using a three-dimensional convolutional neural network (3-D CNN) and a band grouping-based bidirectional long ...

Channel-Layer-Oriented Lightweight Spectral–Spatial Network for ...

Hyperspectral image (HSI) classification is commonly influenced by convolution neural networks (CNNs). However, the large number of ...

A novel spectral–spatial wave network for hyperspectral image ...

It exhibits excellent classification performance on five HSI datasets. Abstract. Deep learning has made significant progress in hyperspectral image (HSI) ...

Spectral–Spatial Self-Attention Networks for Hyperspectral Image ...

This study presents a spectral–spatial self-attention network (SSSAN) for classification of hyperspectral images (HSIs), ...

Dual-stream spectral-spatial convolutional neural network for ...

(2022) proposed a rapid 3D CNN model to classify hyperspectral images. Although deep learning-based HSI classification has been intensively ...

Hyperspectral Image Classification - Papers With Code

Our method exploits a Convolutional Neural Network to encode pixels' spectral and spatial information and a Multi-Layer Perceptron to conduct the classification ...

[PDF] Spatial-Aware Network for Hyperspectral Image Classification

An efficient deep learning-based HSI classification method, namely, spatial-aware network (SANet), which is able not only to aware local spatial structures ...

Full article: Spectral Spatial Neighborhood Attention Transformer for ...

5 9 % dans le cas de quatre ensembles de données. Keywords: Attention Module · Convolutional Neural Network · Hyperspectral image Classification · Vision ...

EtPan/SSAN: Spectral-Spatial Attention Network for Hyperspectral ...

Spectral-Spatial Attention Networks for Hyperspectral Image Classification. Please cite our paper if you find it useful for your research.

(PDF) Spatial-Aware Network for Hyperspectral Image Classification

PDF | Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between ...

Spatial-Aware Network for Hyperspectral Image Classification | Scilit

Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge ...

Spatial-Aware Network for Hyperspectral Image Classification.

hyperspectral image classification spatial-aware network. Abstract: Deep learning is now receiving widespread attention in hyperspectral image (HSI) ...

Spatial-Aware Network for Hyperspectral Image Classification - a-z.lu

Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge number of ...

Hyperspectral Image Classification - Papers With Code

Hyperspectral Image Classification** is a task in the field of remote sensing and computer vision. It involves the classification of pixels in hyperspectral ...

Spectral-Spatial Unified Networks for Hyperspectral Image ...

In this paper, we propose a spectral-spatial unified network (SSUN) with an end-to-end architecture for the hyperspectral image (HSI) classification.

[PDF] Spectral-Spatial Attention Networks for Hyperspectral Image ...

Experimental results demonstrate that the proposed spectral-spatial attention network for hyperspectral image classification can fully utilize the spectral ...

Spectral-spatial self-attention networks for hyperspectral image ...

This study presents a spectral-spatial self-attention network (SSSAN) for classification of hyperspectral images (HSIs), which can adaptively integrate loc.

Spatial-Aware Network for Hyperspectral Image Classification - OUCI

Deep learning is now receiving widespread attention in hyperspectral image (HSI) classification. However, due to the imbalance between a huge number of ...

A Joint Network of Edge-Aware and Spectral–Spatial Feature ... - NCBI

Hyperspectral image (HSI) classification is a vital part of the HSI application field. Since HSIs contain rich spectral information, ...