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Advances in Aerial Sensing and Imaging
Sandeep Kumar (Edited by), S Kumar (Author), Nageswara Rao Moparthi (Edited by), Abhishek Bhola (Edited by), Ravinder Kaur (Edited by), A. Senthil (Edited by), K. M. V. V. Prasad (Edited by)
9781394174690, Wiley
Hardback, published 23 February 2024
432 pages
22.9 x 15.2 x 2.6 cm, 0.903 kg
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.
Preface xv 1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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
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Monali Gulhane and Sandeep Kumar
Munish Kumar, Poonam Jaglan and Yogesh Kakde
Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal
Ajay Kumar Singh and Suneet Gupta
Nitish Mahajan, Aditi Chauhan and Monika Kajal
Chahil Choudhary, Anurag and Pranjal Shukla
Swathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi
Sidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi
P.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao
Swathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy
Harish Padmanaban P. C. and Yogesh Kumar Sharma
Sushma Singh and Dolly Sharma
Vandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav
Pradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta
Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R.
Monika Kajal and Aditi Chauhan
Subject Areas: Computer science [UY]
