World's Best Scientists 2026 revealed!
Naoto Yokoya

Naoto Yokoya

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Computer Science
Japan
2025

D-Index & Metrics

Computer Science

D-Index
62
Citations
16270
World Ranking
2890
National Ranking
21

Research.com Recognitions

  • 2025 - Research.com Computer Science in Japan Leader Award
  • 2022 - Research.com Computer Science in Japan Leader Award

Overview

Naoto Yokoya is affiliated with the University of Tokyo in Japan and has contributed extensively to the fields of Engineering and Computer Science. Their research primarily focuses on remote sensing, image processing, and related technological applications within these disciplines.

The scientist's main areas of study include:

  • Engineering
  • Computer Science

Within these broad fields, Yokoya's work is further specialized in subfields such as:

  • Media Technology
  • Computer Vision and Pattern Recognition
  • Ecology
  • Artificial Intelligence
  • Atmospheric Science

Yokoya's research covers several key topics, including:

  • Remote-Sensing Image Classification
  • Advanced Image Fusion Techniques
  • Remote Sensing and Land Use
  • Remote Sensing in Agriculture
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Remote Sensing and LiDAR Applications

They have published extensively in prominent venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • IEEE Geoscience and Remote Sensing Magazine
  • Remote Sensing

Recent publications by Naoto Yokoya include:

  • "More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "SpectralGPT: Spectral Remote Sensing Foundation Model," 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification," 2020, IEEE Transactions on Geoscience and Remote Sensing
  • "Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "ChangeMamba: Remote Sensing Change Detection With Spatiotemporal State Space Model," 2024, IEEE Transactions on Geoscience and Remote Sensing

Yokoya often collaborates with several frequent co-authors, including:

  • Junshi Xia
  • Hongruixuan Chen
  • Danfeng Hong
  • Jocelyn Chanussot
  • Pedram Ghamisi

Best Publications

  • More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification

    Danfeng Hong;Lianru Gao;Naoto Yokoya;Jing Yao

  • Coupled Nonnegative Matrix Factorization Unmixing for Hyperspectral and Multispectral Data Fusion

    N. Yokoya;T. Yairi;A. Iwasaki

  • An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing

    Danfeng Hong;Naoto Yokoya;Jocelyn Chanussot;Xiao Xiang Zhu

  • SpectralGPT: Spectral Remote Sensing Foundation Model

    Unknown

  • Hyperspectral Pansharpening: A Review

    Laetitia Loncan;Luis B. de Almeida;Jose M. Bioucas-Dias;Xavier Briottet

  • Advances in Hyperspectral Image and Signal Processing: A Comprehensive Overview of the State of the Art

    Pedram Ghamisi;Naoto Yokoya;Jun Li;Wenzhi Liao

  • Hyperspectral and Multispectral Data Fusion: A comparative review of the recent literature

    Naoto Yokoya;Claas Grohnfeldt;Jocelyn Chanussot

  • Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • 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

  • Remote sensing approaches for monitoring mangrove species, structure, and biomass: Opportunities and challenges

    Tien Dat Pham;Naoto Yokoya;Dieu Tien Bui;Kunihiko Yoshino

  • Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification

    Danfeng Hong;Xin Wu;Pedram Ghamisi;Jocelyn Chanussot

  • Learnable manifold alignment (LeMA): A semi-supervised cross-modality learning framework for land cover and land use classification

    Danfeng Hong;Naoto Yokoya;Nan Ge;Jocelyn Chanussot

  • X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

    Danfeng Hong;Danfeng Hong;Naoto Yokoya;Gui-Song Xia;Jocelyn Chanussot;Jocelyn Chanussot

  • CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences

    Danfeng Hong;Naoto Yokoya;Jocelyn Chanussot;Xiao Xiang Zhu

  • Hyperspectral Image Restoration Using Weighted Group Sparsity-Regularized Low-Rank Tensor Decomposition

    Yong Chen;Wei He;Naoto Yokoya;Ting-Zhu Huang

  • Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.

    Danfeng Hong;Lianru Gao;Jing Yao;Naoto Yokoya

  • Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification

    Junshi Xia;Pedram Ghamisi;Naoto Yokoya;Akira Iwasaki

  • Hyperspectral Super-Resolution of Locally Low Rank Images From Complementary Multisource Data

    Miguel A. Veganzones;Miguel Simoes;Giorgio Licciardi;Naoto Yokoya

  • Interpretable Hyperspectral Artificial Intelligence: When nonconvex modeling meets hyperspectral remote sensing

    Danfeng Hong;Wei He;Naoto Yokoya;Jing Yao

  • Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution With Subpixel Fusion

    Unknown

  • Multisource and Multitemporal Data Fusion in Remote Sensing.

    Pedram Ghamisi;Behnood Rasti;Naoto Yokoya;Qunming Wang

  • Non-local Meets Global: An Iterative Paradigm for Hyperspectral Image Restoration

    Wei He;Quanming Yao;Chao Li;Naoto Yokoya

Frequent Co-Authors

Jocelyn Chanussot
Jocelyn Chanussot Grenoble Alpes University
Danfeng Hong
Danfeng Hong Chinese Academy of Sciences
Xiao Xiang Zhu
Xiao Xiang Zhu Technical University of Munich
Pedram Ghamisi
Pedram Ghamisi Helmholtz-Zentrum Dresden-Rossendorf
Ting-Zhu Huang
Ting-Zhu Huang University of Electronic Science and Technology of China
Hongyan Zhang
Hongyan Zhang China University of Geosciences
Lianru Gao
Lianru Gao Aerospace Information Research Institute
Wenzhi Liao
Wenzhi Liao Ghent University
Nicolas Dobigeon
Nicolas Dobigeon National Polytechnic Institute of Toulouse

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