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Welcome to My Webpage!

I work as a researcher at Technical University of Munich (TUM), Germany.





News

News 1:Our paper "Extinction Profiles for the Classification of Remote Sensing Data", was the most popular paper published by IEEE TGRS in July, August, and September 2016.

News 2:Our paper "A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data ", was the most popular paper published by IEEE GRSL in October and November 2016.

News 3:Our paper "Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks ", was the most popular paper published by IEEE TGRS in October, November and September 2016.

News 4:We won the Data Fusion Contest 2017 organized by the Image Analysis and Data Fusion Technical Committee of IEEE-GRSS. Our model was the most accurate one among more than 800 submissions. https://www.grss-ieee.org/community/technical-committees/data-fusion/2017-ieee-grss-data-fusion-contest-results/

News 5:Our paper "Deep Recurrent Neural Networks for Hyperspectral Image Classification", was the most popular paper published by IEEE TGRS in July, August, and September 2017.

News 6:We won a grant offered bt Natural Science Foundation of China on "Semantic Segmentation of Big Data in Hyperspectral Remote Sensing".

News 7:Our paper "Deep Feature Extraction and Classiffication of Hyperspectral Images Based on Convolutional Neural Networks" was selected as Highly Cited Paper by Web of Science.

News 8:Our paper "A Survey on Spectral-Spatial Classiffication Techniques Based on Attribute Pro files" was selected as Highly Cited Paper by Web of Science.






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Few Words about Me

I am a research scientist at DLR and TUM. The first stage of my academic study was in Civil Engineering in Iran. I developed an interest in remote sensing which led to a sharper focus in my graduate studies. My concentration on remote sensing in my masters in Iran led to PhD studies in Electrical and Computer Engineering in Iceland and Australia. My research interests are in machine learning and computer vision with a special focus on spectral and spatial techniques for hyperspectral/remote sensing image classification, machine learning, big data processing, deep learning, pattern recognition, and multi sensor data fusion.

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Reviewer for ...

I serve as a reviewer for a number of journals and conferences including:

  • IEEE Geoscience and Remote Sensing Letter (GRSL)
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS)
  • IEEE Trans. of Image Processing
  • IEEE Trans. on Geoscience and Remote Sensing (TGRS)
  • World Applied Science Journal
  • Indian Journal of Science and Technology
  • 2012 IEEE Symposium on Wireless Technology & Applications (ISWTA 2012)
  • WHISPERS 2013
  • 11th International Workshop, MCS 2013 Nanjing, China
  • International Journal of Remote Sensing (IJRS)
  • Knowledge-Based Systems
  • Signal, Image and Video Processing
  • International Journal of Machine Learning and Cybernetics (JMLC)

Research Teams

I have Collaborations with International Research Teams including:

  • Signal Processing Lab (SPL), University of Iceland, Iceland
  • Hyperspectral Computing Laboratory (HyperComp), University of Extremadura, Spain
  • School of Electrical and Computer Engineering - UNICAMP, Brazil
  • Biophysical Remote Sensing Group, Department of Geographical Sciences and Planning, University of Queensland, Australia
  • RoboCorp at the Engineering Institute of Coimbra, Polytechnic Institute of Coimbra, Rua Pedro Nunes, Coimbra, Portugal http://www2.isec.pt/~robocorp/
  • Department of Technology of Computers and Communications, University of Extremadura, Spain.
  • Department of Images and Signal, GIPSA-lab, Grenoble, France.
  • For a project entitled: "Enabling Intelligent GMES Services for Carbon and Water Balance Modeling of Northern Forest Ecosystems" with the following institutions:

    • VTT Technical Research Centre of Finland,
    • University of Helsinki,
    • The University of Sheffield,
    • Northern Research Institute Tromso of Norway,
    • Institute of Biology of Komi Scientific Centre, Ural Branch of the Russian Academy of Sciences,

Latest Projects

  • [J32]

    J. Xia, P. Ghamisi, N. Yokoya, and A. Iwasaki, "Random Forest Ensembles and Extended Multi-Extinction Profiles for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, [accepted].

  • [J31]

    L. Mou, P. Ghamisi, X. X. Zhu, "Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification", IEEE Transactions on Geoscience and Remote Sensing, [accepted].

  • [J30]

    B. Rasti, P. Ghamisi, J. Plaza, and A. Plaza, "Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis", IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2017.2726901, [in press].

  • [J29]

    M. Zhang, P. Ghamisi, and W. Li, "Classification of hyperspectral and LIDAR data using extinction profiles with feature fusion", Remote Sensing Letters, , vol. 8, no. 10, pp. 957-966, 2017.

My papers

My papers at DBLP can be found here:

http://www.informatik.uni-trier.de/~ley/pers/hd/g/Ghamisi:Pedram.html

My CV

Also My CV can be found here:

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