Faculty

Institution

Unit

Venue

James E. Fowler

William L Giles Professor and Billie J Ball Professorship NSF Program Director – on leave

Mississippi State University

Affiliations

James Worth Bagley College of Engineering

Electrical & Computer Engineering (ece) Department

James E. Fowler is currently serving as an Electrical & Computer Engineering (Ece) Department William L Giles Professor and Billie J Ball Professorship NSF Program Director – on leave at Mississippi State University.

Honors

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Experiences

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Education

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James E. Fowler

Mississippi State University

William L Giles Professor and Billie J Ball Professorship NSF Program Director – on leave

You can click a keyword to filter the displayed items

remote sensing earth science computer science planetary sciences image compression computer vision data compression image analysis hyperspectral imagery machine learning hyperspectral imaging image classification pattern recognition signal processing digital signal processing earth observation earth observation data optical remote sensing geography digital image processing image coding hyperspectral image classification principal component analysis video processing optical engineering geophysical research multimedia security wavelet theory image reconstruction multimedia signal processing adaptive vector quantization computational imaging compressive sensing lossy compression decision fusion dimensionality reduction redundant-wavelet multihypothesis model compression random projections hyperspectral image analysis hyperspectral image compression multiview images sparse representations geometry compression digital watermarking signal reconstruction geophysical signal processing locality-preserving discriminant analysis multihypothesis prediction image communication information technology data security terrestrial sensing sensor signal processing open-source software anomaly detection steganography quantization (signal processing) data classification compressed-sensing recovery hyperspectral classification gaussian mixture models markov random fields open-source software library hyperspectral data digital earth geographical information science biomedical imaging information fusion geodesy wireless communications communication security multimedia information processing active control automatic control numerical simulations video coding big data image representation

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. IEEE Transactions on Computational Imaging (2024)

Zhangxi XiongWei LiHanzheng WangBaochang ZhangJames E. Fowler

computational imagingscientific computingimage restorationplanetary sciencesdigital imagingcomputer visionmulti-stage progressive networkhyperspectral image demosaicingdeep learningdigital signal processinghyperspectral imagingmachine visiondigital image processingimage analysisearth scienceimage denoisingcomputer sciencedemosaicing

Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeCuiling LiQingxin LiuLin BaiJames E. Fowler

planetary sciencesoptical remote sensingcomputer visionenvironmental scienceremote sensingdeep learninghyperspectral imagingchannel attentionimage analysisearth scienceimage classificationmachine learning

Few-Shot Learning Using Residual Channel Attention and Prototype Domain Adaptation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeTao SunZhan CaoLin BaiJames E. Fowler

residual channel attentionplanetary sciencesoptical remote sensingprototype domain adaptationhyperspectral image classificationgeographyremote sensingearth scienceimage classificationfew-shot learningmachine learning

Local–Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeTao SunShihao ShiLin BaiJames E. Fowler

hyperspectral imageryplanetary sciencesearth observationgraph convolutional networkcomputer visionenvironmental scienceactive learningremote sensingsemi-supervised classificationlocal-global active learningimage analysisearth scienceimage classificationmachine learning

The Foundations of Computational Imaging: A Signal Processing Perspective. IEEE Signal Processing Magazine (2023)

WC KarlJE FowlerCA BoumanM ÇetinB WohlbergJC Ye

computational imagingcomputer sciencesignal processing

Multiresolution Decolor for Camouflaged Moving Foreground Detection Using a Redundant Wavelet Transform. Electronic Imaging (2022)

Zoe M. FowlerJames E. FowlerAgnieszka Miguel

technologydisplay technologyforeground detectionmultiresolution decolorcomputer visionelectronic imagingdigital image processingredundant wavelet transform

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)

Zhen YeCuiling LiQingxin LiuLin BaiJames E. Fowler

spatial analysisfeature extractionplanetary sciencesearth observation dataearth observationoptical remote sensingcomputer visionhyperspectral image classificationremote sensingpattern recognitionimage analysisearth scienceimage classificationapplied physics

Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation. IEEE Transactions on Geoscience and Remote Sensing (2021)

Na LiuLu LiWei LiRan TaoJames E. FowlerJocelyn Chanussot

planetary sciencesearth observationmultispectral imageryhyperspectral restorationlow-rank tensor-approximationremote sensingearth science

Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial–Spectral Hyperspectral Classification. IEEE Geoscience and Remote Sensing Letters (2020)

Jinhuan XuJames E. FowlerLiang Xiao

planetary sciencesimage classificationenvironmental scienceunsupervised machine learningremote sensingterrestrial sensinghypergraph-regularized low-rank subspacepattern recognitionimage analysisearth sciencehyperspectral imagingclusteringmachine learninghypergraph theory

Conclusions. Routledge eBooks (2019)

Lee Lockwood

1
2
3
4
5
17
10 / page

James E. Fowler

William L Giles Professor and Billie J Ball Professorship NSF Program Director – on leave

Mississippi State University

Affiliations

James Worth Bagley College of Engineering

Electrical & Computer Engineering (ece) Department

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

James E. Fowler

Mississippi State University

William L Giles Professor and Billie J Ball Professorship NSF Program Director – on leave

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Multi-Stage Progressive Network for Hyperspectral Image Demosaicing and Denoising. IEEE Transactions on Computational Imaging (2024)

Zhangxi XiongWei LiHanzheng WangBaochang ZhangJames E. Fowler

Computationally Lightweight Hyperspectral Image Classification Using a Multiscale Depthwise Convolutional Network With Channel Attention. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeCuiling LiQingxin LiuLin BaiJames E. Fowler

Few-Shot Learning Using Residual Channel Attention and Prototype Domain Adaptation for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeTao SunZhan CaoLin BaiJames E. Fowler

Local–Global Active Learning Based on a Graph Convolutional Network for Semi-Supervised Classification of Hyperspectral Imagery. IEEE Geoscience and Remote Sensing Letters (2023)

Zhen YeTao SunShihao ShiLin BaiJames E. Fowler

The Foundations of Computational Imaging: A Signal Processing Perspective. IEEE Signal Processing Magazine (2023)

WC KarlJE FowlerCA BoumanM ÇetinB WohlbergJC Ye

computational imagingcomputer sciencesignal processing

Multiresolution Decolor for Camouflaged Moving Foreground Detection Using a Redundant Wavelet Transform. Electronic Imaging (2022)

Zoe M. FowlerJames E. FowlerAgnieszka Miguel

technologydisplay technologyforeground detectionmultiresolution decolorcomputer visionelectronic imagingdigital image processingredundant wavelet transform

Multiscale Spatial-Spectral Feature Extraction Network for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)

Zhen YeCuiling LiQingxin LiuLin BaiJames E. Fowler

Hyperspectral Restoration and Fusion With Multispectral Imagery via Low-Rank Tensor-Approximation. IEEE Transactions on Geoscience and Remote Sensing (2021)

Na LiuLu LiWei LiRan TaoJames E. FowlerJocelyn Chanussot

planetary sciencesearth observationmultispectral imageryhyperspectral restorationlow-rank tensor-approximationremote sensingearth science

Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial–Spectral Hyperspectral Classification. IEEE Geoscience and Remote Sensing Letters (2020)

Jinhuan XuJames E. FowlerLiang Xiao

Conclusions. Routledge eBooks (2019)

Lee Lockwood

1
2
3
4
5
17
10 / page

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Similar Faculty Members

Michael W. Marcellin

Institution

University of Arizona

data compression

signal processing

Saurabh Prasad

Institution

University of Houston

biomedical informatics

machine learning research

Ali Gurbuz

Institution

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signal processing

compressive learning

Hayder Radha

Institution

Michigan State University

signal processing

data communication

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Alina Zare

Institution

University of Florida

pattern recognition

remote sensing

Zhihui Zhu

Institution

Ohio State University

machine learning

applied mathematics

Xiao Fu

Institution

Oregon State University

deep learning

signal processing

Miguel Velez-Reyes

Institution

University of Texas at El Paso

remote sensing

geography

Vishal Monga

Institution

Pennsylvania State University

image classification

applied artificial intelligence