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B01=Ala Saleh Alluhaidan
B01=Mohammed A. El-Affendi
B01=Muhammad Shahid Anwar
B01=Sadique Ahmad
Category1=Non-Fiction
Category=RGW
Category=UYM
Category=UYT
COP=United States
Delivery_Delivery within 10-20 working days
Language_English
PA=Available
Price_€100 and above
PS=Active
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Deep Cognitive Modelling in Remote Sensing Image Processing

★★★★★
★★★★★

English

The field of remote sensing image analysis is constantly evolving. However, processing high-resolution images and comprehending the black boxes in land surface analysis and object recognition poses significant challenges. The need for a deeper exploration of these areas has become more pressing due to climate change, global security concerns, and border monitoring issues. With the surge in demand for satellite image analysis and advancements in deep learning techniques and remote sensing technologies, it has become necessary to have a comprehensive guide to navigate these complexities. Deep Cognitive Modelling in Remote Sensing Image Processing is a groundbreaking solution to these challenges. This book delves into the depths of deep learning techniques and cognitive modeling to offer insights and solutions for optimizing existing models while simplifying the processing of high-resolution remote sensing images. By focusing on deep cognitive modeling, the book provides a framework for understanding and addressing the black boxes in land surface analysis and object recognition, empowering researchers and professionals to make meaningful advancements in the field. This book, tailored for professionals and researchers in computer sciences, remote sensing, and related fields, explores cognitive algorithms, mathematical modeling, object localization, image segmentation, machine learning, and profound learning advancements. Through a collection of research articles and case studies, this book equips readers with the knowledge and tools needed to navigate and innovate in remote sensing image analysis, making it an indispensable resource in the era of rapidly advancing technology and increasing demands for satellite image analysis. See more
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Age Group_Uncategorizedautomatic-updateB01=Ala Saleh AlluhaidanB01=Mohammed A. El-AffendiB01=Muhammad Shahid AnwarB01=Sadique AhmadCategory1=Non-FictionCategory=RGWCategory=UYMCategory=UYTCOP=United StatesDelivery_Delivery within 10-20 working daysLanguage_EnglishPA=AvailablePrice_€100 and abovePS=Activesoftlaunch
Delivery/Collection within 10-20 working days
Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Jul 2024
  • Publisher: IGI Global
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9798369329139

About

Dr. Muhammad Shahid Anwar is currently working as an Assistant Professor in the Department of AI & Software at Gachon University Seongnam South Korea. He received his Ph.D. degree in Information and Communication Engineering from the School of Information and Electronics Beijing Institute of Technology Beijing China in 2021 and his M.Sc. in Telecommunications Technology from Aston University Birmingham U.K. in 2012. Dr. Shahid has authored and co-authored more than 50 publications including IEEE Springer IET Hindawi MDPI Frontiers journals and flagship conference papers. He has been honored with the Outstanding Scholar of the Year 2020 Award from the CSC Scholarship Council under the Ministry of Education China. Dr. Shahid also received the Excellent Student of the Year 2020 Award from the Beijing Institute of Technology China. He has been serving as an editorial board member and guest editor in several Journals and a reviewer of quite a few Journals including ACM and IEEE Transactions. His research interests include 360-degree videos immersive Media (Virtual Reality AR) Cognitive Computing Object Detection Metaverse and Quality of Experience (QoE) evaluations of VR telemedicine and healthcare systems. He is focusing on deep learning-based VR video evaluations and developed several Machine Learning based QoE Prediction models.Dr. Ala Saleh D. Alluhaidan received the B.Sc. degree in computer science from Princess Nourah bint Abdulrahman University Riyadh Saudi Arabia the M.Sc. degree in computer information systems from Grand Valley State University MI USA and the Ph.D. degree in information systems and technology from Claremont Graduate University CA USA. She is currently an Associate Professor with the Department of Information Systems Princess Nourah bint Abdulrahman University. Her current research interests include big data analytics Cognitive Computing health informatics and Artificial Intelligence. Also she achieved 48 research articles in peer-reviewed journals and conferences. Few research articles are under review in different prestigious journals.Mohammed A. El-Affendi is currently a Professor of computer science with the Department of Computer Science Prince Sultan University the Former Dean of CCIS AIDE the Rector the Founder and the Director of the Data Science Laboratory (EIAS) and the Founder and the Director of the Center of Excellence in CyberSecurity. His current research interests include data science intelligent and cognitive systems machine learning and natural language processing.

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