LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "spectral attention" as a keyword



SAGP: A spectral attention‐based global pooling

Sign Up to like & get
recommendations! Published in 2024 at "Electronics Letters"

DOI: 10.1049/ell2.13251

Abstract: Pooling operations, essential for neural networks, reduce feature map dimensions while preserving key features and enhancing spatial invariance. Traditional pooling methods often miss the feature maps' alternating currentcomponents. This study introduces a novel global pooling… read more here.

Keywords: sagp spectral; attention; attention based; spectral attention ... See more keywords

Spatial Proximity Feature Selection With Residual Spatial–Spectral Attention Network for Hyperspectral Image Classification

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Access"

DOI: 10.1109/access.2023.3253627

Abstract: Over the past few years, deep learning has been introduced to tackle hyperspectral image (HSI) classification and demonstrated good performance. In particular, the convolutional neural network (CNN) based methods have progressed. However, due to the… read more here.

Keywords: residual spatial; spectral attention; attention; proximity feature ... See more keywords

A Deep-Shallow Fusion Network With Multidetail Extractor and Spectral Attention for Hyperspectral Pansharpening

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3202866

Abstract: Hyperspectral (HS) pansharpening aims at fusing a low-resolution HS image with a high-resolution panchromatic (PAN) image to obtain a HS image with both higher spectral and spatial resolutions. However, existing HS pansharpening algorithms are mainly… read more here.

Keywords: shallow fusion; network; hyperspectral pansharpening; deep shallow ... See more keywords

DESSA-Net Model: Hyperspectral Image Classification Using an Entropy Filter With Spatial and Spectral Attention Modules on DeepNet

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3439592

Abstract: Recent advancements in remote sensing technology have significantly expanded the exploration of natural resources and enabled the detection of materials in inaccessible areas. Hyperspectral images (HSIs) are a valuable data source due to their distinctive… read more here.

Keywords: classification; attention; model; spatial attention ... See more keywords

MHIAIFormer: Multihead Interacted and Adaptive Integrated Transformer With Spatial-Spectral Attention for Hyperspectral Image Classification

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3441111

Abstract: Deep learning is an effective method for hyperspectral image (HSI) classification, where CNN-based and Transformer-based methods have achieved excellent performance. However, there are some drawbacks to the existing CNN-based and Transformer-based HSI classification approaches: 1)… read more here.

Keywords: classification; attention; transformer; spatial spectral ... See more keywords

Self-Supervised Convolutional Neural Network via Spectral Attention Module for Hyperspectral Image Classification

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3141870

Abstract: Hyperspectral image (HSI) classification is a hot topic in the field of remote sensing, and convolutional neural networks (CNNs) have shown good classification performance because of their capabilities of feature extraction. However, traditional CNN-based methods… read more here.

Keywords: hyperspectral image; classification; convolutional neural; spectral attention ... See more keywords
Photo from wikipedia

Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2020.3005431

Abstract: In recent years, with the development of deep learning (DL), the hyperspectral image (HSI) classification methods based on DL have shown superior performance. Although these DL-based methods have great successes, there is still room to… read more here.

Keywords: octave convolution; spatial spectral; spectral attention; information ... See more keywords

Spatial–Spectral Attention Pyramid Network for Hyperspectral Stripe Restoration

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2023.3342189

Abstract: Push-broom hyperspectral imaging systems often suffer from stripe artifacts. The conventional methods treat the artifacts as noise and suppress narrow-stripe ones well but show limitations to wide and full-band stripe artifacts. To address the problem,… read more here.

Keywords: pyramid; attention; stripe restoration; spatial spectral ... See more keywords

Bidirectional Spectral Attention Multiscale Aggregation Network for Spectral Super-Resolution

Sign Up to like & get
recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3575068

Abstract: Spectral super-resolution (SSR) is the computational process of generating a high-dimensional hyperspectral image (HSI) from a low-dimensional image through spectral reconstruction techniques. Recently, deep learning has demonstrated remarkable potential in the field of SSR, achieving… read more here.

Keywords: bidirectional spectral; spectral super; attention; network ... See more keywords

EEG-Channel-Temporal-Spectral-Attention Correlation for Motor Imagery EEG Classification

Sign Up to like & get
recommendations! Published in 2023 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"

DOI: 10.1109/tnsre.2023.3255233

Abstract: In brain-computer interface (BCI) work, how correctly identifying various features and their corresponding actions from complex Electroencephalography (EEG) signals is a challenging technology. However, most current methods do not consider EEG feature information in spatial,… read more here.

Keywords: temporal spectral; eeg channel; eeg; spectral attention ... See more keywords

MSSAAE: multiscale spatial–spectral attention autoencoder framework for hyperspectral anomaly detection

Sign Up to like & get
recommendations! Published in 2025 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.19.036508

Abstract: Abstract. Hyperspectral anomaly detection (HAD) aims to detect objects that are significantly different from their surrounding background. As one important task in the field of remote sensing, HAD has received extensive research attention. In recent… read more here.

Keywords: detection; hyperspectral anomaly; anomaly detection; spatial spectral ... See more keywords