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.

• Preface xv1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1Abhishek Bhola, Bikash Debnath and Ankita Tiwari1.1 Introduction 21.2 Literature Work 51.3 Challenges of Object Detection and Classification in Aerial Images 171.4 Applications of Aerial Imaging in Various Domains 211.5 Conclusions and Future Scope 262 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition 33Monali Gulhane and Sandeep Kumar2.1 Introduction 342.2 Literature Review 352.3 Materials and Methods 372.4 Discussion 402.5 Result Analysis 412.6 Conclusion 433 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML 47Munish Kumar, Poonam Jaglan and Yogesh Kakde3.1 Introduction 483.2 Related Work 493.3 Number of Accidents, Fatalities, and Injuries: 2016–2022 523.4 Proposed Methodology 533.5 Result Analysis 613.6 Conclusion 634 A Machine Learning Approach for Poverty Estimation Using Aerial Images 69Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal4.1 Introduction 704.2 Background and Literature Review 734.3 Proposed Methodology 764.4 Result and Discussion 824.5 Conclusion and Future Scope 835 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects 87Ajay Kumar Singh and Suneet Gupta5.1 Introduction 885.2 UAVs Classification 905.3 Agricultural Use of UAVs 965.4 UAVs in Livestock Farming 1015.5 Challenges 1045.6 Conclusion 1056 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications 109Nitish Mahajan, Aditi Chauhan and Monika Kajal6.1 Introduction 1106.2 Related Work 1116.3 Experimental Methods 1216.4 Results and Outcomes 1226.5 Conclusion 1236.6 Future Scope 1257 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images 129Chahil Choudhary, Anurag and Pranjal Shukla7.1 Introduction 1307.2 Literature Review 1317.3 Proposed Methodology 1337.4 Result and Discussion 1357.5 Conclusion and Future Scope 1428 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation 145Swathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi8.1 Introduction 1468.2 Related Work 1478.3 Proposed Method 1498.4 Datasets 1538.5 Results and Discussion 1548.6 Conclusion 1619 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations 165Sidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi9.1 Introduction 1669.2 Types of Ransomwares 1679.3 History of Ransomware 1689.4 Notable Ransomware Strains and Their Impact 1719.5 Mitigation Methods for Ransomware Attacks 1849.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) 1859.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs 1949.8 Results and Discussion 1989.9 Conclusion and Future Scope 20610 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone 213P.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao10.1 Introduction 21410.2 Literature Review 21610.3 Proposed Work 22010.4 Experimentation and Results 22310.5 Future Work and Conclusion 23011 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module 245Swathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy11.1 Introduction 24611.2 Literature Survey 24711.3 Proposed System 25011.4 Results 25611.5 Conclusion 26412 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning 267Harish Padmanaban P. C. and Yogesh Kumar Sharma12.1 Introduction 26712.2 Proposed Framework Optimized Parking Space Identifier (OPSI) 27012.3 Potential Impact 28112.4 Application and Results 28412.5 Discussion and Limitations 28912.6 Future Work 29012.7 Conclusion 29013 Graphical Password Authentication Using Python for Aerial Devices/Drones 295Sushma Singh and Dolly Sharma13.1 Introduction 29613.2 Literature Review 29713.3 Methodology 29813.4 A Brief Overview of a Drone and Authentication 29913.5 Password Cracking 30513.6 Data Analysis 30713.7 Discussion 30913.8 Conclusion and Future Scope 30914 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles 313Vandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav14.1 Introduction 31414.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles 31514.3 Background and Literature of Review 31714.4 Research Gap 31914.5 Methodology 31914.6 Discussion 32114.7 Conclusion 32715 Satellite Image Classification Using Convolutional Neural Network 333Pradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta15.1 Introduction 33415.2 Literature Review 33515.3 Objectives of this Research Work 33615.4 Description of the Dataset 33715.5 Theoretical Framework 33715.6 Implementation and Results 33915.7 Conclusion and Future Scope 35016 Edge Computing in Aerial Imaging – A Research Perspective 355Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R.16.1 Introduction 35516.2 Research Applications of Aerial Imaging 35716.3 Edge Computing and Aerial Imaging 36616.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures 37616.5 Discussion 37916.6 Conclusion 38017 Aerial Sensing and Imaging Analysis for Agriculture 383Monika Kajal and Aditi Chauhan17.1 Introduction 38417.2 Experimental Methods and Techniques 38817.3 Aerial Imaging and Sensing Applications in Agriculture 39017.4 Aerial Imaging and Sensing Applications in Livestock Farming 39817.5 Challenges in Aerial Sensing and Imaging in Agriculture and Livestock Farming 40417.6 Conclusion 406References 406Index 411

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.

• Preface xv1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1Abhishek Bhola, Bikash Debnath and Ankita Tiwari1.1 Introduction 21.2 Literature Work 51.3 Challenges of Object Detection and Classification in Aerial Images 171.4 Applications of Aerial Imaging in Various Domains 211.5 Conclusions and Future Scope 262 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition 33Monali Gulhane and Sandeep Kumar2.1 Introduction 342.2 Literature Review 352.3 Materials and Methods 372.4 Discussion 402.5 Result Analysis 412.6 Conclusion 433 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML 47Munish Kumar, Poonam Jaglan and Yogesh Kakde3.1 Introduction 483.2 Related Work 493.3 Number of Accidents, Fatalities, and Injuries: 2016–2022 523.4 Proposed Methodology 533.5 Result Analysis 613.6 Conclusion 634 A Machine Learning Approach for Poverty Estimation Using Aerial Images 69Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal4.1 Introduction 704.2 Background and Literature Review 734.3 Proposed Methodology 764.4 Result and Discussion 824.5 Conclusion and Future Scope 835 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects 87Ajay Kumar Singh and Suneet Gupta5.1 Introduction 885.2 UAVs Classification 905.3 Agricultural Use of UAVs 965.4 UAVs in Livestock Farming 1015.5 Challenges 1045.6 Conclusion 1056 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications 109Nitish Mahajan, Aditi Chauhan and Monika Kajal6.1 Introduction 1106.2 Related Work 1116.3 Experimental Methods 1216.4 Results and Outcomes 1226.5 Conclusion 1236.6 Future Scope 1257 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images 129Chahil Choudhary, Anurag and Pranjal Shukla7.1 Introduction 1307.2 Literature Review 1317.3 Proposed Methodology 1337.4 Result and Discussion 1357.5 Conclusion and Future Scope 1428 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation 145Swathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi8.1 Introduction 1468.2 Related Work 1478.3 Proposed Method 1498.4 Datasets 1538.5 Results and Discussion 1548.6 Conclusion 1619 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations 165Sidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi9.1 Introduction 1669.2 Types of Ransomwares 1679.3 History of Ransomware 1689.4 Notable Ransomware Strains and Their Impact 1719.5 Mitigation Methods for Ransomware Attacks 1849.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) 1859.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs 1949.8 Results and Discussion 1989.9 Conclusion and Future Scope 20610 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone 213P.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao10.1 Introduction 21410.2 Literature Review 21610.3 Proposed Work 22010.4 Experimentation and Results 22310.5 Future Work and Conclusion 23011 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module 245Swathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy11.1 Introduction 24611.2 Literature Survey 24711.3 Proposed System 25011.4 Results 25611.5 Conclusion 26412 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning 267Harish Padmanaban P. C. and Yogesh Kumar Sharma12.1 Introduction 26712.2 Proposed Framework Optimized Parking Space Identifier (OPSI) 27012.3 Potential Impact 28112.4 Application and Results 28412.5 Discussion and Limitations 28912.6 Future Work 29012.7 Conclusion 29013 Graphical Password Authentication Using Python for Aerial Devices/Drones 295Sushma Singh and Dolly Sharma13.1 Introduction 29613.2 Literature Review 29713.3 Methodology 29813.4 A Brief Overview of a Drone and Authentication 29913.5 Password Cracking 30513.6 Data Analysis 30713.7 Discussion 30913.8 Conclusion and Future Scope 30914 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles 313Vandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav14.1 Introduction 31414.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles 31514.3 Background and Literature of Review 31714.4 Research Gap 31914.5 Methodology 31914.6 Discussion 32114.7 Conclusion 32715 Satellite Image Classification Using Convolutional Neural Network 333Pradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta15.1 Introduction 33415.2 Literature Review 33515.3 Objectives of this Research Work 33615.4 Description of the Dataset 33715.5 Theoretical Framework 33715.6 Implementation and Results 33915.7 Conclusion and Future Scope 35016 Edge Computing in Aerial Imaging – A Research Perspective 355Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R.16.1 Introduction 35516.2 Research Applications of Aerial Imaging 35716.3 Edge Computing and Aerial Imaging 36616.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures 37616.5 Discussion 37916.6 Conclusion 38017 Aerial Sensing and Imaging Analysis for Agriculture 383Monika Kajal and Aditi Chauhan17.1 Introduction 38417.2 Experimental Methods and Techniques 38817.3 Aerial Imaging and Sensing Applications in Agriculture 39017.4 Aerial Imaging and Sensing Applications in Livestock Farming 39817.5 Challenges in Aerial Sensing and Imaging in Agriculture and Livestock Farming 40417.6 Conclusion 406References 406Index 411

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.

• Preface xv1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1Abhishek Bhola, Bikash Debnath and Ankita Tiwari1.1 Introduction 21.2 Literature Work 51.3 Challenges of Object Detection and Classification in Aerial Images 171.4 Applications of Aerial Imaging in Various Domains 211.5 Conclusions and Future Scope 262 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition 33Monali Gulhane and Sandeep Kumar2.1 Introduction 342.2 Literature Review 352.3 Materials and Methods 372.4 Discussion 402.5 Result Analysis 412.6 Conclusion 433 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML 47Munish Kumar, Poonam Jaglan and Yogesh Kakde3.1 Introduction 483.2 Related Work 493.3 Number of Accidents, Fatalities, and Injuries: 2016–2022 523.4 Proposed Methodology 533.5 Result Analysis 613.6 Conclusion 634 A Machine Learning Approach for Poverty Estimation Using Aerial Images 69Nandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal4.1 Introduction 704.2 Background and Literature Review 734.3 Proposed Methodology 764.4 Result and Discussion 824.5 Conclusion and Future Scope 835 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects 87Ajay Kumar Singh and Suneet Gupta5.1 Introduction 885.2 UAVs Classification 905.3 Agricultural Use of UAVs 965.4 UAVs in Livestock Farming 1015.5 Challenges 1045.6 Conclusion 1056 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications 109Nitish Mahajan, Aditi Chauhan and Monika Kajal6.1 Introduction 1106.2 Related Work 1116.3 Experimental Methods 1216.4 Results and Outcomes 1226.5 Conclusion 1236.6 Future Scope 1257 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images 129Chahil Choudhary, Anurag and Pranjal Shukla7.1 Introduction 1307.2 Literature Review 1317.3 Proposed Methodology 1337.4 Result and Discussion 1357.5 Conclusion and Future Scope 1428 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation 145Swathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi8.1 Introduction 1468.2 Related Work 1478.3 Proposed Method 1498.4 Datasets 1538.5 Results and Discussion 1548.6 Conclusion 1619 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations 165Sidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi9.1 Introduction 1669.2 Types of Ransomwares 1679.3 History of Ransomware 1689.4 Notable Ransomware Strains and Their Impact 1719.5 Mitigation Methods for Ransomware Attacks 1849.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) 1859.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs 1949.8 Results and Discussion 1989.9 Conclusion and Future Scope 20610 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone 213P.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao10.1 Introduction 21410.2 Literature Review 21610.3 Proposed Work 22010.4 Experimentation and Results 22310.5 Future Work and Conclusion 23011 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module 245Swathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy11.1 Introduction 24611.2 Literature Survey 24711.3 Proposed System 25011.4 Results 25611.5 Conclusion 26412 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning 267Harish Padmanaban P. C. and Yogesh Kumar Sharma12.1 Introduction 26712.2 Proposed Framework Optimized Parking Space Identifier (OPSI) 27012.3 Potential Impact 28112.4 Application and Results 28412.5 Discussion and Limitations 28912.6 Future Work 29012.7 Conclusion 29013 Graphical Password Authentication Using Python for Aerial Devices/Drones 295Sushma Singh and Dolly Sharma13.1 Introduction 29613.2 Literature Review 29713.3 Methodology 29813.4 A Brief Overview of a Drone and Authentication 29913.5 Password Cracking 30513.6 Data Analysis 30713.7 Discussion 30913.8 Conclusion and Future Scope 30914 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles 313Vandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav14.1 Introduction 31414.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles 31514.3 Background and Literature of Review 31714.4 Research Gap 31914.5 Methodology 31914.6 Discussion 32114.7 Conclusion 32715 Satellite Image Classification Using Convolutional Neural Network 333Pradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta15.1 Introduction 33415.2 Literature Review 33515.3 Objectives of this Research Work 33615.4 Description of the Dataset 33715.5 Theoretical Framework 33715.6 Implementation and Results 33915.7 Conclusion and Future Scope 35016 Edge Computing in Aerial Imaging – A Research Perspective 355Divya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R.16.1 Introduction 35516.2 Research Applications of Aerial Imaging 35716.3 Edge Computing and Aerial Imaging 36616.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures 37616.5 Discussion 37916.6 Conclusion 38017 Aerial Sensing and Imaging Analysis for Agriculture 383Monika Kajal and Aditi Chauhan17.1 Introduction 38417.2 Experimental Methods and Techniques 38817.3 Aerial Imaging and Sensing Applications in Agriculture 39017.4 Aerial Imaging and Sensing Applications in Livestock Farming 39817.5 Challenges in Aerial Sensing and Imaging in Agriculture and Livestock Farming 40417.6 Conclusion 406References 406Index 411