Handbook of Artificial Intelligence-driven Digital Image Analysis for Intelligent Remote Sensing

1. Auflage 2026
ISBN: 978-1-041-07663-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 328 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: Multimedia and Multimodal Intelligence

The text begins with a detailed introduction to the core principles of remote sensing, offering readers foundational knowledge before delving into the growing role of artificial intelligence. It systematically explores how artificial intelligence-driven methods are transforming the way satellite imagery and other forms of remote sensing data are processed, analyzed, and interpreted across various domains.

This book:

- Includes in-depth analysis of the latest research findings and real-world case studies highlighting successful applications of artificial intelligence in remote sensing.

- Addresses emerging trends like explainable artificial intelligence and federated learning, ensuring that the readers understand the future of artificial intelligence-driven remote sensing.

- Presents advanced machine learning and deep learning methods for spectral and spatial feature extraction in remote sensing.

- Explains artificial intelligence for unmanned aerial vehicle (UAV) and hyperspectral remote sensing.

- Explores big data analytics for remote sensing, and quantum machine learning for high dimensional remote sensing data.

It is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and information technology.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

Gupta, Shruti

Kumar Maurya, Ajay

Phartiyal, Gopal Singh

Singh, Dharmendra

Fachgebiete

• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Geowissenschaften Geologie GIS, Geoinformatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

1. Foundations of Artificial Intelligence and Remote Sensing: Principles, Architectures, and Applications in Image Analysis. 2. AI-Based Object Detection and Segmentation in Remote Sensing Images: Techniques and Applications. 3. AI-Enhanced Change Detection in Remote Sensing; Advanced Methods and Real World Applications. 4. Artificial Intelligence for Unmanned Aerial Vehicle (UAV) and Hyperspectral Remote Sensing in Agriculture: Applications and Opportunities. 5. Federated Learning for Remote Sensing Image Analysis: Techniques and Applications. 6. Managing Disasters Using Geospatial Technology and AI: A Multi-Hazard Perspective. 7. Marine and Coastal Monitoring using AI in Remote Sensing: Applications and Challenges. 8. Big Data Analytics for Remote Sensing: Opportunities and Challenges. 9. Quantum Machine Learning for High-Dimensional Remote Sensing Data: Applications and Challenges. 10. Attention-driven Deep Neural Network for Mineral Prospectivity of Remotely Sensed Sites. 11. Smart and Sustainable Urban Planning Through AI and Satellite Images: Methods, Applications, and Challenges. 12. AI Meets the Ocean: Smart Algorithms for Coastal Risk and Resource Mapping in India.

Über Autor(innen)

Shruti Gupta is an emerging researcher and academician in the field of Computer Science and Engineering, currently serving as Assistant Professor at Jaypee Institute of Information Technology. Her academic and research interests primarily focus on artificial intelligence, remote sensing, image processing, and intelligent data analysis. She has contributed to various research activities in the domains of satellite image analysis, machine learning, and intelligent computing, with publications in reputed journals and conferences. Her work reflects a strong interdisciplinary approach toward solving real-world problems using advanced computational techniques. Dr. Gupta is actively involved in teaching, research, innovation, and academic collaborations, with a focus on promoting quality education and technology-driven research in emerging areas of computer science and remote sensing.

Ajay Kumar Maurya is an academician and researcher in the field of Computer Science and Engineering, currently associated with National Institute of Technology Patna. His research interests include artificial intelligence, machine learning, data analytics, intelligent computing, and emerging computational technologies. He has contributed to teaching, research, and academic development through publications in reputed journals and conferences, along with active participation in technical and research-oriented activities. His work focuses on developing innovative and efficient computational approaches for solving real-world challenges in interdisciplinary domains. Dr. Maurya is actively involved in promoting quality technical education, collaborative research, and innovation-driven learning, with a commitment toward advancing modern research and technological development in computer science and allied areas.

Gopal Singh Phartiyal is a distinguished academician and researcher associated with Birla Institute of Technology and Science Pilani. His academic interests span across advanced computing technologies, intelligent systems, data analytics, and interdisciplinary research in emerging technological domains. He has contributed significantly to teaching, research, and innovation through scholarly publications, academic collaborations, and participation in national and international technical activities. His work emphasizes the application of modern computational techniques to address real-world scientific and engineering challenges. Dr. Phartiyal is actively engaged in promoting quality education, research excellence, and innovation-oriented learning, with a strong commitment to advancing technology-driven academic and research ecosystems.

Dharmendra Singh is an eminent academician, researcher, and administrator in the field of Electronics and Communication Engineering. He is currently serving as the Director of Indian Institute of Information Technology Vadodara and has also been associated as Professor in the Department of Electronics and Communication Engineering at Indian Institute of Technology Roorkee. He received his Ph.D. in Electronics Engineering from Indian Institute of Technology (BHU) Varanasi and has more than three decades of teaching, research, and administrative experience. Prof. Singh has made significant contributions in the areas of microwave and millimeter-wave imaging, artificial intelligence, machine learning, computer vision, remote sensing, radar systems, data fusion, and drone-based applications. His research interests also include satellite data applications, electromagnetic modeling, stealth technologies, and image processing. He has supervised numerous Ph.D. scholars and postgraduate students and has published a large number of research papers in reputed journals and conferences. Throughout his academic career, Prof. Singh has received several prestigious national and international fellowships and recognitions. He has worked as a visiting scientist and research fellow at renowned institutions in countries including Japan, Germany, France, China, and Spain. His leadership and research contributions have played an important role in advancing interdisciplinary technologies related to remote sensing, artificial intelligence, and communication systems. As Director of Indian Institute of Information Technology Vadodara, Prof. Singh is committed to promoting innovation, quality education, research excellence, and industry-oriented learning. His vision emphasizes technological advancement, societal impact, and the development of future-ready professionals equipped to contribute to global innovation and national development.