Advances in Aerial Sensing and Imaging (eBook, PDF)
Redaktion: Kumar, Sandeep; Prasad, K. M. V. V.; Senthil, A.; Kaur, Ravinder; Bhola, Abhishek; Moparthi, Nageswara Rao
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Advances in Aerial Sensing and Imaging (eBook, PDF)
Redaktion: Kumar, Sandeep; Prasad, K. M. V. V.; Senthil, A.; Kaur, Ravinder; Bhola, Abhishek; Moparthi, Nageswara Rao
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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…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 432
- Erscheinungstermin: 31. Januar 2024
- Englisch
- ISBN-13: 9781394175505
- Artikelnr.: 69954818
- Verlag: John Wiley & Sons
- Seitenzahl: 432
- Erscheinungstermin: 31. Januar 2024
- Englisch
- ISBN-13: 9781394175505
- Artikelnr.: 69954818
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
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