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D-Index & Metrics

Computer Science

D-Index
37
Citations
7221
World Ranking
10599
National Ranking
4438

Overview

Saurabh Prasad is affiliated with the University of Houston in the United States, with a research focus primarily spanning Engineering, Computer Science, and Materials Science. Their work includes significant contributions in subfields such as Media Technology, Electronic, Optical and Magnetic Materials, Artificial Intelligence, Materials Chemistry, and Biomedical Engineering.

Their research topics cover a variety of areas, including:

  • Remote-Sensing Image Classification
  • Ferroelectric and Piezoelectric Materials
  • Multiferroics and related materials
  • Magnetic and transport properties of perovskites and related materials
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Domain Adaptation and Few-Shot Learning

Among their recent papers are the following:

  • "A Multiscale Deep Learning Approach for High-Resolution Hyperspectral Image Classification," 2020, published in IEEE Geoscience and Remote Sensing Letters
  • "Adversarial Learning Based Discriminative Domain Adaptation for Geospatial Image Analysis," 2021, published in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Multi-modal image sharpening in fourier transform infrared (FTIR) microscopy," 2021, published in The Analyst
  • "Unveiling the potential of a novel inorganic perovskite for NTC thermistor and energy-storage applications," 2024, published in Inorganic Chemistry Communications
  • "Dielectric, thermal and optical properties of PVDF-based (LaFeO3)0.5 (BaTiO3)0.5 perovskite composite films for advanced technological applications," 2024, published in Ceramics International

Saurabh Prasad has also contributed to academic books, including a publication with Springer International Publishing titled "Hyperspectral Image Analysis" (2020).

Frequent co-authors collaborating with them include:

  • R. K. Parida
  • B. N. Parida
  • Harshavardhan Chouhan
  • Melba M. Crawford
  • Jocelyn Chanussot

Publication venues where Saurabh Prasad commonly publishes their work include:

  • arXiv (Cornell University)
  • Ceramics International
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Inorganic Chemistry Communications
  • IEEE Geoscience and Remote Sensing Magazine

Best Publications

  • Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest

    Christian Debes;Andreas Merentitis;Roel Heremans;Jürgen T. Hahn

  • Locality-Preserving Dimensionality Reduction and Classification for Hyperspectral Image Analysis

    Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

  • Semi-Supervised Deep Learning Using Pseudo Labels for Hyperspectral Image Classification

    Hao Wu;Saurabh Prasad

  • Limitations of Principal Components Analysis for Hyperspectral Target Recognition

    S. Prasad;L.M. Bruce

  • Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning

    Dalton Lunga;Saurabh Prasad;Melba M. Crawford;Okan Ersoy

  • Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest

    Yonghao Xu;Bo Du;Liangpei Zhang;Daniele Cerra

  • Convolutional Recurrent Neural Networks forHyperspectral Data Classification

    Hao Wu;Saurabh Prasad

  • Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing

    M. Dalla Mura;S. Prasad;F. Pacifici;P. Gamba

  • Nearest Regularized Subspace for Hyperspectral Classification

    Wei Li;Eric W. Tramel;Saurabh Prasad;James E. Fowler

  • High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton

    Atilla Kilicarslan;Saurabh Prasad;Robert G. Grossman;Jose L. Contreras-Vidal

  • Fusion of Hyperspectral and LiDAR Remote Sensing Data Using Multiple Feature Learning

    Mahdi Khodadadzadeh;Jun Li;Saurabh Prasad;Antonio Plaza

  • Decision Fusion for the Classification of Hyperspectral Data: Outcome of the 2008 GRS-S Data Fusion Contest

    G. Licciardi;F. Pacifici;D. Tuia;S. Prasad

  • Hyperspectral Image Classification Using Gaussian Mixture Models and Markov Random Fields

    Wei Li;Saurabh Prasad;James E. Fowler

  • Decision Fusion With Confidence-Based Weight Assignment for Hyperspectral Target Recognition

    S. Prasad;L.M. Bruce

  • Locality-Preserving Discriminant Analysis in Kernel-Induced Feature Spaces for Hyperspectral Image Classification

    Wei Li;S. Prasad;J. E. Fowler;L. M. Bruce

  • Class-Dependent Sparse Representation Classifier for Robust Hyperspectral Image Classification

    Minshan Cui;Saurabh Prasad

  • Sitting and standing intention can be decoded from scalp EEG recorded prior to movement execution

    Thomas C. Bulea;Saurabh Prasad;Atilla Kilicarslan;Jose L. Contreras-Vidal

  • 2018 IEEE GRSS Data Fusion Contest: Multimodal Land Use Classification [Technical Committees]

    Bertrand Le Saux;Naoto Yokoya;Ronny Hansch;Saurabh Prasad

  • Ensemble Multiple Kernel Active Learning For Classification of Multisource Remote Sensing Data

    Yuhang Zhang;Hsiuhan Lexie Yang;Saurabh Prasad;Edoardo Pasolli

  • Optical Remote Sensing

    Saurabh Prasad;Lori M. Bruce;Jocelyn Chanussot

  • Spectral–Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust Hyperspectral Image Classification

    Chen Chen;Wei Li;Eric W. Tramel;Minshan Cui

Frequent Co-Authors

James E. Fowler
James E. Fowler Mississippi State University
Wei Li
Wei Li Beijing Institute of Technology
Melba M. Crawford
Melba M. Crawford Purdue University West Lafayette
Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Demetrio Labate
Demetrio Labate University of Houston
Paolo Gamba
Paolo Gamba University of Pavia
Jose L. Contreras-Vidal
Jose L. Contreras-Vidal University of Houston
Qian Du
Qian Du Mississippi State University
Naoto Yokoya
Naoto Yokoya University of Tokyo
Zhu Han
Zhu Han University of Houston

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