John Kerekes

John Kerekes

Rochester Institute of Technology

H-index: 29

North America-United States

About John Kerekes

John Kerekes, With an exceptional h-index of 29 and a recent h-index of 18 (since 2020), a distinguished researcher at Rochester Institute of Technology, specializes in the field of Remote Sensing, Image Processing, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Design and Demonstration of a Lattice-Based Target for Hyperspectral Subpixel Target Detection Experiments

Linear Mixing Model Performance with Nonlinear Effects in Hyperspectral Sub-Pixel Target Detection

Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions

New York Chapter (2007–2010) of the IEEE Geoscience and Remote Sensing Society (GRSS). From 2010 to 2015, he was on the GRSS Administrative Committee. Since 2017, he has been …

A Fuzzy-Boundary Enhanced Trident Network for Parcel Extraction in the Urban-Rural Area

Impacts of fully illuminated targets on partially shaded backgrounds for a multiclass subpixel target detection scenario

Integrating Satellite and Sensor Measurements to Understand PM2. 5 in Asunción, Paraguay

Comparison of methane detection for shortwave and longwave infrared hyperspectral sensors under varying environmental conditions

John Kerekes Information

University

Position

Professor of Imaging Science

Citations(all)

3586

Citations(since 2020)

1283

Cited By

3485

hIndex(all)

29

hIndex(since 2020)

18

i10Index(all)

76

i10Index(since 2020)

36

Email

University Profile Page

Rochester Institute of Technology

Google Scholar

View Google Scholar Profile

John Kerekes Skills & Research Interests

Remote Sensing

Image Processing

Pattern Recognition

Top articles of John Kerekes

Title

Journal

Author(s)

Publication Date

Design and Demonstration of a Lattice-Based Target for Hyperspectral Subpixel Target Detection Experiments

IEEE Transactions on Geoscience and Remote Sensing

Chase Cañas

John P Kerekes

2024/1/8

Linear Mixing Model Performance with Nonlinear Effects in Hyperspectral Sub-Pixel Target Detection

Colin J Maloney

John P Kerekes

Emmett J Ientilucci

Chase Cañas

2023/7/16

Comparison of Methane Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Lucy A Zimmerman

John P Kerekes

2023/2/22

New York Chapter (2007–2010) of the IEEE Geoscience and Remote Sensing Society (GRSS). From 2010 to 2015, he was on the GRSS Administrative Committee. Since 2017, he has been …

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING

Jón Atli Benediktsson

Melba Crawford

2023

A Fuzzy-Boundary Enhanced Trident Network for Parcel Extraction in the Urban-Rural Area

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Jiajun Zhu

Zhuoqun Chai

Zhaopu Song

Zhanpeng Chen

Qian Shi

2023/2/22

Impacts of fully illuminated targets on partially shaded backgrounds for a multiclass subpixel target detection scenario

Chase Cañas

John P Kerekes

Colin J Maloney

Emmett J Ientilucci

Scott D Brown

2023/7/16

Integrating Satellite and Sensor Measurements to Understand PM2. 5 in Asunción, Paraguay

AGU Fall Meeting Abstracts

John P Kerekes

Lauren Prox

Guillermo Pallarolas Rodriguez Alcala

Yuwei Zhou

Marion Lang

...

2022/12

Comparison of methane detection for shortwave and longwave infrared hyperspectral sensors under varying environmental conditions

Lucy A Zimmerman

John P Kerekes

2022/9/30

Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection

Chase Cañas

John P Kerekes

Emmett J Ientilucci

Scott D Brown

2022/9/30

Temporal MLP Network for PM 2.5 Estimation

Yuwei Zhou

John Kerekes

2022/7/17

Comparison of Methane Plume Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions

Lucy Zimmerman

2022

PM2. 5 Classification Through Convolutional Recurrent Neural Networks Applied to Modis AOD and TOA Reflectance Images

Yuwei Zhou

John Kerekes

2021/7/11

1D conditional generative adversarial network for spectrum-to-spectrum translation of simulated chemical reflectance signatures

Journal of Spectral Imaging

Cara P Murphy

John Kerekes

2021/6/11

Physics-guided neural network for predicting chemical signatures

Applied Optics

Cara P Murphy

John P Kerekes

2021/4/10

RIT Scholar Work s

Education

Jill P Morford

Corrine Occhino

Megan Zirnstein

Judith F Kroll

Erin Wilkinson

2019/10

Effects of satellite revisit rate and time-series smoothing method on throughout-season maize yield correlation accuracy

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Emily Myers

John Kerekes

Craig Daughtry

Andrew Russ

2021/11/18

An examination of enhanced atmospheric methane detection methods for predicting performance of a novel multiband uncooled radiometer imager

Atmospheric Measurement Techniques

Cody M Webber

John P Kerekes

2020/10/9

Review of global near real time PM2. 5 estimates and model forecasts

John P Kerekes

Molini M Patel

Caroline C D'Angelo

2020/9/26

Practical model for improved classification of trace chemical residues on surfaces in active spectroscopic measurements

Optical Engineering

Cara P Murphy

John Kerekes

Derek Wood

Anish Goyal

2020/9/1

Optimizing requirements for a compact spaceborne adaptive spectral imaging system in subpixel target detection applications

IEEE Journal on Miniaturization for Air and Space Systems

Sanghui Han

John Kerekes

Shawn Higbee

Lawrence Siegel

2020/5/13

See List of Professors in John Kerekes University(Rochester Institute of Technology)