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We propose a HSI denoising network based on the combination of Transformer and convolutional neural network (CNN), which can effectively improve the complex ...
Inspired by Transformer-based image restoration models, we propose a new Parallel Cross-Fusion Network (PCFNet), which exploits the powerful local ...
Jul 20, 2022 · Hyperspectral image denoising based on parallel cross-fusion network · Presentation · Discussion · Resources.
In this paper, we propose a multiscale cross-fusion network for HSI classification. It consists of three components: a spectral signatures extraction network, ...
Missing: Denoising | Show results with:Denoising
Aug 16, 2024 · It generally includes three steps: preprocessing of HS images, application of CD algorithms and evaluation of the results [3]. Of these, ...
Apr 19, 2023 · We propose a novel solution to investigate the HSI denoising using a Multi-scale Adaptive Fusion Network (MAFNet), which can learn the complex nonlinear ...
Missing: Cross- | Show results with:Cross-
Apr 6, 2021 · In this paper, we propose a novel blind denoising method for HSIs based on Multi-Stream Denoising Network (MSDNet). Our network consists of the ...
Jul 25, 2023 · We construct a dual-stream self-attention fusion network (DSSFN) that combines spectral and spatial information in order to achieve the deep mining of global ...
The proposed network is a two-branch network that integrates the self-attention mechanism of the Transformer to extract spectral features from HSI and spatial ...
Mar 15, 2024 · We propose a hybrid convolution and attention network (HCANet), which leverages both the strengths of convolution neural networks (CNNs) and Transformers.