Deadline Extension (30 September, 2023) Call for Book Chapters: Computational Intelligence based Hyperspectral Image Analysis, Springer (Scopus Indexed)

[Anu Bajaj]

**Call for Book Chapters - please circulate this CFP to your colleagues and networks **

------------On multiple requests from several authors, we have extended the submission deadline till September 30, 2023---------------


Dear Colleague

Greetings of the Day!

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”.

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

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

Submission Guidelines
-----------------------------------------
The chapter should adheres to the following points:
The chapter should be concise.
There should not be any copyright issues; if any, please take the proper permissions.
The figures and tables are properly cited, and captions are provided at appropriate places.
The equations should be numbered and in editable form.
There should not be any conflict of interest.
References should be complete and properly cited in the text.
There is no page limit.
The plagiarism should be less than 15%.
The chapter should be in Springer Template: https://www.springer.com/de/authors-editors/book-authors-editors/manuscript-preparation/5636#c3324

Important Dates:
--------------------
Full Chapter Submission Deadline (Extended) September 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

There is no processing or publication charge for this book.


Refer to the conference website <https://sites.google.com/view/cihia2023/home> or enquire via mail for more information.

Please acknowledge the mail as soon as you receive it so we can finalize the chapters list.

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

Information contact: Anu Bajaj <er.an...@gmail.com>


--
Thanks & Regards
Anu Bajaj

Assistant Professor

Computer Science and Engineering Department

Thapar Institute of Engineering & Technology

Patiala, Punjab, India



Manager-Research Internships

Machine Intelligence Research Labs (MIR Labs)

Scientific Network for Innovation and Research Excellence
11, 3rd Street NW, P.O. Box 2259,
Auburn, Washington 98071, USA

Email: anu....@thapar.edu, er.an...@gmail.com


Google Scholar | LinkedIn | ResearchGate | Scopus | ORCiD | Publons