• Second Call for Book Chapters: Computational Intelligence based Hypersp

    From Anu Bajaj@21:1/5 to All on Fri Jul 14 06:26:18 2023
    **Second Call for Book Chapters - please circulate this CFP to your
    colleagues and networks **

    Dear Colleagues

    We cordially invite researchers and scientists working in hyperspectral
    image analysis all around the globe to participate and submit their
    research work to contribute to our book titled "Computational
    Intelligence based Hyperspectral Image Analysis".

    It would help if you could let us know the tentative title of your
    contribution within 10 days of receiving this mail so that we can plan / structure the table of contents of the book.

    Submission link: https://forms.gle/owMZQys1yd6zXtkMA

    Scope of the Book:
    Computational Intelligence (CI) based hyperspectral image analysis has
    gained significant importance in recent years due to its ability to
    extract valuable information from hyperspectral images and make
    predictions. Hyperspectral images provide a rich source of information
    about the composition and properties of objects in the environment.
    However, the vast amount of data generated by hyperspectral images can
    be overwhelming and hard to analyze. With their ability to provide
    valuable insights and improve decision-making, Computational
    Intelligence techniques act as a powerful tool that aids in automatic
    analysis and improves accuracy. Recent advances in the field have
    provided new and exciting ways to employ CI-based hyperspectral image
    analysis in many diverse applications.

    The book aims to showcase these latest achievements and novel approaches
    in this field, focusing on their wide applications in agriculture, the environment, defense, medical diagnostics, food and product inspection,
    and mineral exploration. It will be an essential resource for those
    seeking to deepen their understanding of how hyperspectral image
    analysis can combine with computational intelligence techniques to solve specific tasks in different application fields from a multidisciplinary perspective.

    The topics include, but are not limited to: ---------------------------------------------
    Hyperspectral Image Acquisition Hyperspectral Image Enhancement
    Hyperspectral Image Clustering Hyperspectral Image Representation
    Hyperspectral Image Restoration Hyperspectral Image Filtering
    Hyperspectral Image Classification Hyperspectral Image Segmentation Hyperspectral Image Retrieval and Indexing Hyperspectral Image
    Compression Spatial/Spectral Super-Resolution Computational Imaging
    Object Detection Applications in Remote Sensing
    Multispectral/Hyperspectral Image Processing: Band Selection,
    Dimensionality Reduction, Compressive Sensing, Sparse Representation,
    Image Registration/Matching, Image Denoising/Destriping, Image Fusion/Pansharpening Unsupervised Learning, Semi-supervised Learning,
    Transfer Learning, Deep Learning on Hyperspectral Images Real time
    Monitoring and applications

    Important Dates:
    Full Chapter Submission Deadline August 30, 2023 Final Notification
    of Acceptance October 15, 2023 Final Chapter Submission Deadline
    November 15, 2023

    Publisher Details:
    This book will be published in the Springer Series "Intelligent Systems Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394)

    Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for
    Scientific Journals and Series

    Submission Guidelines:
    The length of a book chapter should be between 20 and 30 pages.
    Chapters must be formatted according to Springer format (Latex or
    Word). The manuscript should be submitted in Word or Latex files. The plagiarism rate should be less than 15%. The figure should not have any copyright issues; either it can be redrawn or a copyright certificate
    should be obtained.

    There is no processing or publication charge for this book.

    More details on https://sites.google.com/view/cihia2023/home

    Best Regards Editors: Ajith Abraham, Flame University, Pune, India;
    Machine Intelligence Research Labs (MIR Labs), USA Anu Bajaj, Thapar
    Institute of Engineering and Technology, Patiala, Punjab, India Jyoti
    Maggu, Thapar Institute of Engineering and Technology, Patiala,
    Punjab, India

    Information contact: Anu Bajaj (er.anubajaj@gmail.com)

    --- SoupGate-Win32 v1.05
    * Origin: fsxNet Usenet Gateway (21:1/5)