Advances in Aerial Sensing and Imaging

Advances in Aerial Sensing and Imaging This groundbreaking book is a comprehensive guide to the technology found in the complex field of aerial sensing and imaging, and the real-world challenges that stem from its growing significance and demand. The advent of unmanned aerial vehicles (UAVs), or drones, along with advancements in sensor technology and image processing techniques, has further enhanced the capabilities and applications of aerial sensing and imaging. These developments have opened up new research, innovation, and exploration avenues. Aerial sensing and imaging have rapidly evolved over the past few decades and have revolutionized several fields, including land cover and usage prediction, crop and livestock management, road accident monitoring, poverty estimation, defense, agriculture, forest fire detection, UAV security issues, and open parking management. This book provides a comprehensive understanding and knowledge of the underlying technology and its practical applications in different domains. Audience Computer science and artificial intelligence researchers working in the fields of aerial sensing and imaging, as well as professionals working in industries such as agriculture, geology, surveying, urban planning, disaster response, etc; this book provides them with practical guidance and instruction on how to apply aerial sensing and imaging for various purposes and stay up-to-date with the latest developments in the domain.

Table of Contents:
Preface xv 1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1 Abhishek Bhola, Bikash Debnath and Ankita Tiwari 1.1 Introduction 2 1.2 Literature Work 5 1.3 Challenges of Object Detection and Classification in Aerial Images 17 1.4 Applications of Aerial Imaging in Various Domains 21 1.5 Conclusions and Future Scope 26 2 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition 33 Monali Gulhane and Sandeep Kumar 2.1 Introduction 34 2.2 Literature Review 35 2.3 Materials and Methods 37 2.4 Discussion 40 2.5 Result Analysis 41 2.6 Conclusion 43 3 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML 47 Munish Kumar, Poonam Jaglan and Yogesh Kakde 3.1 Introduction 48 3.2 Related Work 49 3.3 Number of Accidents, Fatalities, and Injuries: 2016–2022 52 3.4 Proposed Methodology 53 3.5 Result Analysis 61 3.6 Conclusion 63 4 A Machine Learning Approach for Poverty Estimation Using Aerial Images 69 Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal 4.1 Introduction 70 4.2 Background and Literature Review 73 4.3 Proposed Methodology 76 4.4 Result and Discussion 82 4.5 Conclusion and Future Scope 83 5 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects 87 Ajay Kumar Singh and Suneet Gupta 5.1 Introduction 88 5.2 UAVs Classification 90 5.3 Agricultural Use of UAVs 96 5.4 UAVs in Livestock Farming 101 5.5 Challenges 104 5.6 Conclusion 105 6 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications 109 Nitish Mahajan, Aditi Chauhan and Monika Kajal 6.1 Introduction 110 6.2 Related Work 111 6.3 Experimental Methods 121 6.4 Results and Outcomes 122 6.5 Conclusion 123 6.6 Future Scope 125 7 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images 129 Chahil Choudhary, Anurag and Pranjal Shukla 7.1 Introduction 130 7.2 Literature Review 131 7.3 Proposed Methodology 133 7.4 Result and Discussion 135 7.5 Conclusion and Future Scope 142 8 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation 145 Swathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi 8.1 Introduction 146 8.2 Related Work 147 8.3 Proposed Method 149 8.4 Datasets 153 8.5 Results and Discussion 154 8.6 Conclusion 161 9 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations 165 Sidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi 9.1 Introduction 166 9.2 Types of Ransomwares 167 9.3 History of Ransomware 168 9.4 Notable Ransomware Strains and Their Impact 171 9.5 Mitigation Methods for Ransomware Attacks 184 9.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) 185 9.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs 194 9.8 Results and Discussion 198 9.9 Conclusion and Future Scope 206 10 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone 213 P.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao 10.1 Introduction 214 10.2 Literature Review 216 10.3 Proposed Work 220 10.4 Experimentation and Results 223 10.5 Future Work and Conclusion 230 11 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module 245 Swathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy 11.1 Introduction 246 11.2 Literature Survey 247 11.3 Proposed System 250 11.4 Results 256 11.5 Conclusion 264 12 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning 267 Harish Padmanaban P. C. and Yogesh Kumar Sharma 12.1 Introduction 267 12.2 Proposed Framework Optimized Parking Space Identifier (OPSI) 270 12.3 Potential Impact 281 12.4 Application and Results 284 12.5 Discussion and Limitations 289 12.6 Future Work 290 12.7 Conclusion 290 13 Graphical Password Authentication Using Python for Aerial Devices/Drones 295 Sushma Singh and Dolly Sharma 13.1 Introduction 296 13.2 Literature Review 297 13.3 Methodology 298 13.4 A Brief Overview of a Drone and Authentication 299 13.5 Password Cracking 305 13.6 Data Analysis 307 13.7 Discussion 309 13.8 Conclusion and Future Scope 309 14 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles 313 Vandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav 14.1 Introduction 314 14.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles 315 14.3 Background and Literature of Review 317 14.4 Research Gap 319 14.5 Methodology 319 14.6 Discussion 321 14.7 Conclusion 327 15 Satellite Image Classification Using Convolutional Neural Network 333 Pradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta 15.1 Introduction 334 15.2 Literature Review 335 15.3 Objectives of this Research Work 336 15.4 Description of the Dataset 337 15.5 Theoretical Framework 337 15.6 Implementation and Results 339 15.7 Conclusion and Future Scope 350 16 Edge Computing in Aerial Imaging – A Research Perspective 355 Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R. 16.1 Introduction 355 16.2 Research Applications of Aerial Imaging 357 16.3 Edge Computing and Aerial Imaging 366 16.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures 376 16.5 Discussion 379 16.6 Conclusion 380 17 Aerial Sensing and Imaging Analysis for Agriculture 383 Monika Kajal and Aditi Chauhan 17.1 Introduction 384 17.2 Experimental Methods and Techniques 388 17.3 Aerial Imaging and Sensing Applications in Agriculture 390 17.4 Aerial Imaging and Sensing Applications in Livestock Farming 398 17.5 Challenges in Aerial Sensing and Imaging in Agriculture and Livestock Farming 404 17.6 Conclusion 406 References 406 Index 411

About the Author :
Sandeep Kumar, PhD, is a professor in the Department of Computer Science and Engineering, K L Deemed to be University, Vijayawada, Andhra Pradesh, India. He has been granted six patents and successfully filed another ten. He has published more than 100 research papers in various national and international journals and proceedings of reputed national and international conferences. Nageswara Rao Moparthi, PhD, is a professor at KL University in the Department of Computer and Engineering. He has 13 years of IT industry exposure with major MNC's and seven years of teaching research experience. He has published 25 articles in reputed Scopus and SCIE/ESCI international journals. Abhishek Bhola, PhD, is an associate professor in the Department of Computer Science and Engineering at K L Deemed to be University, Vijayawada, Andhra Pradesh, India. He has more than seven years of experience in academics and research. Additionally, he has published several research papers in various international journals and conferences. Ravinder Kaur, PhD, is an assistant professor in the Department of Computer Science and Engineering (CSE) at the University Institute of Engineering, Chandigarh University, Punjab, India. She has published research papers in various renowned international conferences and SCI-indexed journals. A. Senthil, PhD, is a professor in the Department of Computer Science and Engineering, KLEF Deemed to be University, A.P., India. He has been in teaching and research for the past 21 years, working as a Professor, Head of Department, and Associate Dean in leading institutions. He has also served as an ABET-USA program evaluator for the Computing Accreditation Commission (CAC) for the last four years. K.M.V.V. Prasad, PhD, is an associate professor in the Department of Electronics and Telecommunications, Symbiosis International (Deemed University), Pune, India, with eight years of teaching experience. He has authored and co-authored many papers in international journals and both national and international conferences.