<p><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Dear Colleagues</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"> </span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">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".</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">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.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Submission link: </span><a href="https://forms.gle/owMZQys1yd6zXtkMA" target="_blank" style="color:rgb(17,85,204);font-family:Arial,Helvetica,sans-serif;font-size:small">https://forms.gle/<wbr>owMZQys1yd6zXtkMA</a><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Scope of the Book:  </span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">--------------------</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">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.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">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.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">The topics include, but are not limited to:</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">------------------------------</span><wbr style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">---------------</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Acquisition</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Enhancement</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Clustering</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Representation</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Restoration</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Filtering</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Classification</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Segmentation</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Retrieval and Indexing</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Hyperspectral Image Compression</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Spatial/Spectral Super-Resolution</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Computational Imaging</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Object Detection</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Applications in Remote Sensing</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Multispectral/Hyperspectral Image Processing: Band Selection, Dimensionality Reduction, Compressive Sensing,</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Sparse Representation, Image Registration/Matching, Image Denoising/Destriping, Image Fusion/Pansharpening</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Unsupervised Learning, Semi-supervised Learning, Transfer Learning, Deep Learning on Hyperspectral Images</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Real time Monitoring and applications</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"> </span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Important Dates:</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">---------------------</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Full Chapter Submission Deadline               August 30, 2023</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Final Notification of Acceptance                   October 15, 2023</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Final Chapter Submission Deadline             November 15, 2023</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Publisher Details:</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">----------------------</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">This book will be published in the Springer Series "Intelligent Systems Reference Library" (Electronic ISSN: 1868-4408, Print ISSN: 1868-4394)</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Indexed by: SCOPUS, SCImago, DBLP, zbMATH, Norwegian Register for Scientific Journals and Series</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Submission Guidelines:</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">----------------------</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">The length of a book chapter should be between 20 and 30 pages.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">Chapters must be formatted according to Springer format (Latex or Word).</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">The manuscript should be submitted in Word or Latex files.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">The plagiarism rate should be less than 15%.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><span style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">The figure should not have any copyright issues; either it can be redrawn or a copyright certificate should be obtained.</span><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"><br style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small"></p><div style="color:rgb(34,34,34);font-family:Arial,Helvetica,sans-serif;font-size:small">There is no processing or publication charge for this book.<br><br><br>More details on <a href="https://sites.google.com/view/cihia2023/home" target="_blank" style="color:rgb(17,85,204)">https://sites.google.com/<wbr>view/cihia2023/home</a><br><br><br>-----<br>Best Regards<br>Editors:  <br>Ajith Abraham, Flame University, Pune, India; Machine Intelligence Research Labs (MIR Labs), USA<br>Anu Bajaj, Thapar Institute of Engineering and Technology, Patiala, Punjab, India<br>Jyoti Maggu, Thapar Institute of Engineering and Technology, Patiala, Punjab, India<br><br>Information contact: Anu Bajaj (<a href="mailto:er.anubajaj@gmail.com" target="_blank" style="color:rgb(17,85,204)">er.anubajaj@gmail.com</a>)</div>