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   Articles with "multiscale spatial" as a keyword



Exploring Multiscale Spatial Interactions: Multiscale Geographically Weighted Negative Binomial Regression

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recommendations! Published in 2024 at "Annals of the American Association of Geographers"

DOI: 10.1080/24694452.2023.2289986

Abstract: In this article, I develop and implement the multiscale geographically weighted negative binomial (MGWNB) model, extending the spatially weighted interaction models by integrating a multiscale framework. This model effectively tackles the multiscale nonstationarity and overdispersion… read more here.

Keywords: weighted negative; regression; multiscale geographically; multiscale spatial ... See more keywords

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification

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recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3179446

Abstract: Convolutional neural networks have garnered increasing interest for the supervised classification of hyperspectral imagery. However, images with a wide variety ofspatial land-cover sizes can hinder the feature-extraction ability of traditional convolutional networks. Consequently, many approaches… read more here.

Keywords: network; spatial spectral; feature; feature extraction ... See more keywords

A Hybrid Spectral Attention-Enabled Multiscale Spatial–Spectral Learning Network for Hyperspectral Image Superresolution

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recommendations! Published in 2024 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2024.3407953

Abstract: Hyperspectral image superresolution (HSI-SR) has become an essential step of data preprocessing for tasks such as classification and change detection in remote sensing. For HSI-SR tasks, the state-of-the-art methods lie in how to learn effective… read more here.

Keywords: deep spatial; hyperspectral image; spectral features; image superresolution ... See more keywords

A Multiscale Spatial–Spectral Prototypical Network for Hyperspectral Image Few-Shot Classification

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recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3185743

Abstract: Due to the complex environment of hyperspectral image (HSI) gathering area, it is difficult to obtain a large number of labeled samples for HSI. Therefore, how to effectively achieve the HSI few-shot classification is a… read more here.

Keywords: shot classification; spatial spectral; hsi; multiscale spatial ... See more keywords

Multiscale Spatial–Spectral Attention Network for Hyperspectral Image Compressed Sensing

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recommendations! Published in 2025 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2025.3624612

Abstract: Hyperspectral image (HSI) compressed sensing faces challenges due to spectral redundancy and high dimensionality. Although recent learning-based methods have shown promise, most of them rely heavily on spatial convolutional operations, which are often insufficient in… read more here.

Keywords: hyperspectral image; attention; compressed sensing; spatial spectral ... See more keywords

Multiscale Spatial–Spectral Invertible Compensation Network for Hyperspectral Remote Sensing Image Denoising

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3457010

Abstract: Hyperspectral image (HSI) has fine spectral resolution and abundant spatial information to detect subtle differences between targets. However, it is heavily contaminated with noise due to sensor design and atmospheric radiative transfer, resulting in spectral… read more here.

Keywords: multiscale spatial; image; compensation; network ... See more keywords

MS2I2Former: Multiscale Spatial–Spectral Information Interactive Transformer for Hyperspectral Image Classification

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recommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3469384

Abstract: Transformer models are increasingly used in hyperspectral image (HSI) classification, thanks to their excellent global feature extraction capabilities. However, these networks still need to be improved in recognizing locally complex feature shapes at different scales… read more here.

Keywords: classification; multiscale spatial; transformer; spectral information ... See more keywords

MsGsFNet: A Multiscale Spatial and Global Spectral Information Fusion Network for UAV-H² Imagery Classification

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3590374

Abstract: UAVs equipped with hyperspectral imaging systems can capture high spatial and spectral resolution (H2) imagery, providing detailed information about ground objects. However, high spatial and spectral resolutions increase spatial heterogeneity and spectral variability, which pose… read more here.

Keywords: classification; information; global spectral; spatial global ... See more keywords

SSDT: Multiscale Spatial–Spectral Dilated Transformer for Hyperspectral and Multispectral Image Fusion

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recommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2025.3610215

Abstract: Hyperspectral images (HSIs) and multispectral image (MSI) possess complementary advantages, with HSIs providing rich spectral information and MSIs offering fine spatial details. Therefore, fusing HSIs and MSIs to obtain high-resolution HSIs (HR-HSIs) with both high… read more here.

Keywords: multispectral image; fusion; spectral dilated; spatial spectral ... See more keywords

3-D VCG Loop-Based Myocardial Infarction Identification With Multiscale Spatial Residual Attention

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recommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2025.3600726

Abstract: Early diagnosis of myocardial infarction (MI) is crucial for timely treatment and prognosis of patients. Currently, most automatic classification methods for MI rely on features extracted from 12-lead electrocardiograms (ECGs) and three-lead vectorcardiograms (VCGs). However,… read more here.

Keywords: vcg; attention; vcg loop; myocardial infarction ... See more keywords

A multiscale spatial modeling framework for the germinal center response

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recommendations! Published in 2024 at "Frontiers in Immunology"

DOI: 10.3389/fimmu.2024.1377303

Abstract: The germinal center response or reaction (GCR) is a hallmark event of adaptive humoral immunity. Unfolding in the B cell follicles of the secondary lymphoid organs, a GC culminates in the production of high-affinity antibody-secreting… read more here.

Keywords: framework; response; cell; center response ... See more keywords