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Pedram Ghamisi

2011–2026 年に発表

302
論文数
26,317
被引用数
75
h 指数
188
i10 指数

被引用数

Pedram Ghamisi の年別被引用数1977 年: 被引用 1 件1998 年: 被引用 1 件2001 年: 被引用 1 件2002 年: 被引用 3 件2003 年: 被引用 1 件2004 年: 被引用 1 件2006 年: 被引用 1 件2009 年: 被引用 3 件2010 年: 被引用 5 件2011 年: 被引用 2 件2012 年: 被引用 2 件2013 年: 被引用 16 件2014 年: 被引用 66 件2015 年: 被引用 79 件2016 年: 被引用 154 件2017 年: 被引用 360 件2018 年: 被引用 635 件2019 年: 被引用 1,262 件2020 年: 被引用 1,789 件2021 年: 被引用 2,365 件2022 年: 被引用 2,440 件2023 年: 被引用 2,450 件2024 年: 被引用 2,673 件2025 年: 被引用 1,986 件2026 年: 被引用 324 件2027 年: 被引用 1 件1978〜1997 年は被引用が無いため表示していません1999〜2000 年は被引用が無いため表示していません2005 年は被引用が無いため表示していません2007〜2008 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 6,197 件、この内訳の 44.1%アメリカ合衆国: 引用元論文 1,009 件、この内訳の 7.2%インド: 引用元論文 745 件、この内訳の 5.3%ドイツ: 引用元論文 546 件、この内訳の 3.9%フランス: 引用元論文 379 件、この内訳の 2.7%イギリス: 引用元論文 374 件、この内訳の 2.7%スペイン: 引用元論文 368 件、この内訳の 2.6%オーストラリア: 引用元論文 367 件、この内訳の 2.6%イタリア: 引用元論文 287 件、この内訳の 2%カナダ: 引用元論文 256 件、この内訳の 1.8%日本: 引用元論文 235 件、この内訳の 1.7%イラン: 引用元論文 204 件、この内訳の 1.5%
0%44.1%その他 21.9%

機関

分野

  • Engineering55.8%
  • Computer Science22.5%
  • Environmental Science8.9%
  • Medicine3.3%
  • Earth and Planetary Sciences2.1%
  • Mathematics1.1%
  • その他6.3%

トピック

  • Remote-Sensing Image Classification19.7%
  • Remote Sensing and Land Use9.2%
  • Advanced Image Fusion Techniques8.5%
  • Remote Sensing in Agriculture3.5%
  • Advanced Image and Video Retrieval Techniques3.4%
  • Image and Signal Denoising Methods2.2%
  • その他53.5%

共著者

全論文

検索で開く
  1. Deep Learning for Hyperspectral Image Classification: An Overview

    著者: Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2019 被引用: 1,788

  2. Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

    著者: Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2016 被引用: 2,907

  3. Deep Recurrent Neural Networks for Hyperspectral Image Classification

    著者: Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2017 被引用: 1,352

  4. Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review

    著者: Mohammadreza Sheykhmousa, Masoud MahdianPari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2020 被引用: 1,055

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

    著者: Pedram Ghamisi, Naoto Yokoya, Jun Li, Wenzhi Liao, Sicong Liu, Javier Plaza, Behnood Rasti, Antonio Plaza - IEEE Geoscience and Remote Sensing Magazine 2017 被引用: 857

  6. Classification of Hyperspectral and LiDAR Data Using Coupled CNNs

    著者: Renlong Hang, Li Zhu, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2020 被引用: 427

  7. Generative Adversarial Networks for Hyperspectral Image Classification

    著者: Lin Zhu, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2018 被引用: 719

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

    著者: Pedram Ghamisi, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders - IEEE Geoscience and Remote Sensing Magazine 2019 被引用: 571

  9. SpectralGPT: Spectral Remote Sensing Foundation Model

    著者: Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2024 被引用: 711

  10. Cascaded Recurrent Neural Networks for Hyperspectral Image Classification

    著者: Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2019 被引用: 526

  11. Feature Extraction for Hyperspectral Imagery: The Evolution From Shallow to Deep: Overview and Toolbox

    著者: Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson - IEEE Geoscience and Remote Sensing Magazine 2020 被引用: 519

  12. Advanced Spectral Classifiers for Hyperspectral Images: A review

    著者: Pedram Ghamisi, Javier Plaza, Yushi Chen, Jun Li, Antonio Plaza - IEEE Geoscience and Remote Sensing Magazine 2017 被引用: 658

  13. Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector

    著者: Puhong Duan, Xudong Kang, Pedram Ghamisi, Shutao Li - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2023 被引用: 105

  14. Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis

    著者: Behnood Rasti, Pedram Ghamisi, Richard Gloaguen - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2017 被引用: 202

  15. Deep Fusion of Remote Sensing Data for Accurate Classification

    著者: Yushi Chen, Chunyang Li, Pedram Ghamisi, Xiuping Jia, Yanfeng Gu - IEEE Geoscience and Remote Sensing Letters, IEEE Geosci. Remote. Sens. Lett. 2017 被引用: 242

  16. Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network

    著者: Pedram Ghamisi, Bernhard Höfle, Xiao Xiang Zhu - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 2016 被引用: 244

  17. Changes to Captions: An Attentive Network for Remote Sensing Change Captioning

    著者: Shizhen Chang, Pedram Ghamisi - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2023 被引用: 83

  18. Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification

    著者: Swalpa Kumar Roy, Atri Sukul, Ali Jamali, Juan Mario Haut, Pedram Ghamisi - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2024 被引用: 76

  19. Transferring CNN With Adaptive Learning for Remote Sensing Scene Classification

    著者: Weiquan Wang, Yushi Chen, Pedram Ghamisi - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2022 被引用: 116

  20. Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources

    著者: Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls - Information Fusion, Inf. Fusion 2020 被引用: 236

  21. Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection

    著者: Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2022 被引用: 169

  22. Noise Reduction in Hyperspectral Imagery: Overview and Application

    著者: Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot - Remote Sensing, Remote. Sens. 2018 被引用: 330

  23. Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images

    著者: Linshan Wu, Leyuan Fang, Jun Yue, Bob Zhang, Pedram Ghamisi, He Min - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2022 被引用: 89

  24. Local Window Attention Transformer for Polarimetric SAR Image Classification

    著者: Ali Jamali, Swalpa Kumar Roy, Avik Bhattacharya, Pedram Ghamisi - IEEE Geoscience and Remote Sensing Letters, IEEE Geosci. Remote. Sens. Lett. 2023 被引用: 84