A hybrid convolution transformer for hyperspectral image classification

We propose a hybrid convolution transformer framework. Our method uses a vision transformer and a residual 3D convolutional neural network model.

PDF | Hyperspectral images play a crucial role in remote sensing applications surveillance, environment and precision agriculture, ...

A Hybrid Transformer for Hyperspectral Image Classification

... convolutional neural networks (CNNs). To utilize the transformer to model spatial–spectral information, a hybrid transformer that integrates ...

Hybrid Conv-ViT Network for Hyperspectral Image Classification

With the success of Vision Transformer (ViT), Transformer is being increasingly used for hyperspectral image (HSI) ... hybrid convolution layer

Hybrid Conv-ViT Network for Hyperspectral Image Classification

... transformers tend to classify ... To solve these problems, a hybrid convolution and ViT network (HCVN) is proposed for HSI classification.

Convolutional Meets Transformer Network for Hyperspectral Images ...

Existing HSI classification methods based on CNN-Transformer hybrid architectures [25] usually adopt manually specified hybrid strategies ...

Hybrid Conv-ViT Network for Hyperspectral Image Classification

A hybrid convolution and ViT network (HCVN) is proposed for HSI classification, which enhances the ability of local structure characterization while ...

DBCTNet: Double Branch Convolution-Transformer Network for...

... Transformers are of great interest in hyperspectral image (HSI) classification. And recent works show that hybrid models using CNN and ...

A Hybrid 2D/3D Convolutional Neural Network for Hyperspectral ...

The transformer framework has shown great potential in the field of hyperspectral image (HSI) classification due to its superior global modeling capabilities ...

A Hybrid convolution neural network for the classification of tree ...

This study underscores the potential of hyperspectral images and our proposed methodology for achieving precise tree species classification.

TransHSI: A Hybrid CNN-Transformer Method for Disjoint Sample ...

Hyperspectral images' (HSIs) classification research has seen significant progress with the use of convolutional neural networks (CNNs) and Transformer ...

Hybrid Convolutional and Attention Network for Hyperspectral Image ...

Eliminating these noise could improve the accuracy of ground object detection and classification. Therefore, HSI denoising is a critical and.

Transformer-enhanced two-stream complementary convolutional ...

In this article, we propose a transformer-enhanced two-stream complementary convolutional neural network (TECCNet) for hyperspectral image classification.

Dual-Branch Adaptive Convolutional Transformer for Hyperspectral ...

HSI classification represents a critical component within the field of hyperspectral image analysis. However, hyperspectral image classification remains ...

Hybrid convolutional network with enhanced graph attention ...

Generative adversarial networks based on transformer encoder and convolution block for hyperspectral image classification. Remote Sensing ...

HyFormer: Hybrid Transformer and CNN for Pixel-Level ...

AF2GNN: Graph convolution with adaptive filters and aggregator fusion for hyperspectral image classification. Inf. Sci. 2022;602:201–219 ...

Hyperspectral Image Classification Based on 3D–2D Hybrid ...

Convolutional neural networks and graph convolutional neural networks are two classical deep learning models that have been widely used in ...

GroupFormer for hyperspectral image classification through group ...

In comparison, combining a convolutional model with a transformer for low- and high-level feature extraction and subsequent classifiers for ...

Graph-infused hybrid vision transformer: Advancing GeoAI for ...

Hyperspectral Image Classification (HSIC) is a challenging task due to the high-dimensional nature of Hyperspectral Imaging (HSI) data and the complex ...

Improved Transformer Net for Hyperspectral Image Classification

SquconvNet: Deep Sequencer Convolutional Network for Hyperspectral Image Classification ... Remote. Sens. 2023. TLDR. A unique network called ...