Vision-Language Fusion for Geospatial Intelligence

Foundations, Applications, and Future Directions
Erscheinungsjahr 2027
ISBN: 978-0-443-54235-0
Verlag: Elsevier Science

Buch, Englisch, 380 Seiten, Format (B × H): 152 mm x 229 mm

Vision-Language Fusion for Geospatial Intelligence: Foundations, Applications, and Future Directions investigate how vision-language models can transform geospatial analysis. The rapid growth of satellite remote sensing, aerial sensing, and environmental data has created opportunities and challenges for interpretable, decision-ready analytics. Current approaches often treat vision and language separately, limiting cross-modal reasoning, real-time insight, and policy-ready outputs. This book provides a cohesive resource that unifies foundational theory, multimodal architectures, datasets, benchmarks, and practical workflows for Earth observation, climate analytics, urban planning, and defense intelligence. It presents a three-part structure: foundations of vision-language fusion in geospatial contexts, domain-specific applications across disaster response, environmental monitoring, agriculture, urban analytics, and security, and emerging frontiers including explainable AI and autonomous agents. It also delivers reproducible code, open datasets, and case studies to bridge research and practice. Overall, the volume speaks to researchers and practitioners in geospatial AI and Earth observation who require a unified, accessible framework for building, evaluating, and deploying vision-language geospatial systems that inform sustainable decision-making and policy.

Autoren/Hrsg.

Dalal, Surjeet

Lilhore, Umesh Kumar

Simaiya, Sarita

Sinha, Shweta

Kaushik, Ajay

Fachgebiete

• Geowissenschaften Geologie Geologie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

Part I: Foundations of Vision–Language Fusion
1. Introduction to Vision–Language Intelligence in Geospatial Domains
2. Fundamentals of Vision–Language Models (VLMs)
3. Remote Sensing Modalities and Multimodal Data Fusion
4. Datasets, Benchmarks, and Annotation Frameworks
5. Deep Multimodal Architectures and Training Strategies

Part II: Applications of Vision–Language Fusion in Geospatial Intelligence
6. Image Captioning and Semantic Scene Interpretation
7. Vision–Language Question Answering for Remote Sensing
8. Environmental Monitoring and Climate Analytics
9. Disaster Detection and Emergency Response
10. Agriculture and Resource Management
11. Urban Analytics and Smart Infrastructure
12. Defense, Security, and Strategic Geospatial Intelligence

Part III: Emerging Frontiers and Future Directions
13. Explainable, Ethical, and Sustainable Multimodal AI
14. Integration with Large Language Models and Autonomous Agents
15. Future Outlook: Towards Planetary-Scale Multimodal Intelligence

Über Autor(innen)

Lilhore, Umesh Kumar
Umesh Kumar Lilhore is a highly accomplished academician, researcher, and thought leader in the field of Computer Science and Engineering (CSE) with over 19 years of experience. He is currently working as a visiting Professor and researcher in university of Lousiana USA. Dr. Lilhore holds a PhD (CSE) and a Postdoctoral degree (CSE) from the University of Louisiana, USA, alongside an MTech in CSE. His career is marked by significant contributions in academic administration, research, teaching, education management, and software development.

Dr. Lilhore has successfully supervised five PhD scholars and mentored over 35 MTech students, fostering the next generation of engineers and researchers. His research achievements are noteworthy, with over 65 Indian patents and 7 UK patents to his name. He has also built a substantial portfolio of over 150 publications in prestigious SCI/Scopus-indexed journals and conferences, underscoring his leadership in advancing the field of CSE.

Dalal, Surjeet
Surjeet Dalal is a distinguished academic and researcher with over 18 years of teaching and research experience, he currently serves as Professor in the Department of Computer Science and Engineering at Amity University, Haryana. His research interests span Artificial Intelligence, Cybersecurity, Internet of Things, Machine Learning, Object Detection, Healthcare, and Industry 5.0. Surjeet Dalal has published high-impact research papers in journals such as Computers & Security, Artificial Intelligence Review, and Journal of Cloud Computing. He has supervised multiple Ph.D. scholars and led international collaborations. A prolific innovator, he holds several granted patents and has authored notable books. His work bridges academic excellence and technological innovation.

Simaiya, Sarita
Sarita Simaiya is a distinguished academician and researcher in the field of Computer Science and Engineering (CSE) with over 18 years of experience. She holds a PhD in CSE, an MTech in Computer Engineering (CE), and a Postdoctoral degree in CSE. Dr. Simaiya is an expert in the areas of Cloud Computing, Artificial Intelligence (AI), and Security, and has made significant contributions to advancing these fields. Throughout her career, Dr. Simaiya has actively participated in academic administration, teaching, and research. She has published over 100 articles in reputed Scopus and Web of Science (WoS) indexed journals and conferences, showcasing her expertise and leadership in the field. She continues to inspire and lead research in the evolving domains of Cloud Computing and AI. Dr. Simaiya has made notable strides in both fundamental and applied research, contributing to the development of cutting-edge solutions in AI and Cloud Security. She has been instrumental in mentoring PhD students and guiding the next generation of engineers and researchers in her area of expertise.

Kaushik, Ajay
Ajay Kaushik is a Lecturer in Computer Science at University of Derby (UK). His research spans artificial intelligence, Internet of Things (IoT), wireless sensor networks, cyber-security, edge computing and 5G/6G communications. He has secured a significant amount of research funding and has served as Principal Investigator on multiple projects. He has published many peer-reviewed journal and conference papers in top-indexed venues and holds an Indian patent in the field of AI. His teaching and research extend internationally through collaborations with institutions in Finland, Canada, and elsewhere. He is a fellow of Advance Higher Education UK and has been a professional member of several IEEE councils and the British Computer Society. Dr Kaushik brings multidisciplinary expertise in computing practice and innovation with strong industry engagement and academic credibility.

Sinha, Shweta
Shweta Sinha is an accomplished researcher and educator with extensive experience in Artificial Intelligence, Machine Learning, Speech and Natural Language Processing, and Data Science. She holds a Ph.D. from BIT Mesra and, has authored nearly 90 publications in reputed international journals and conferences, contributed to multiple book volumes, and holds three national and one international patent. Her recent work explores federated learning, edge intelligence, and AI for low-resource languages. She has led nationally funded projects under the Ministry of Education and collaborated with organizations such as DRDO, C-DAC, and Nokia Research Centre. Beyond research, Dr. Sinha actively mentors students through the Entrepreneurship Cell and technical clubs, fostering innovation and leadership. A senior member of IEEE, ACM, and CSI, she has chaired sessions and reviewed for top-tier journals. Her career reflects a deep commitment to advancing AI-driven research and shaping future computing professionals.