{"product_id":"advances-in-aerial-sensing-and-imaging-hardback-9781394174690","title":"Advances in Aerial Sensing and Imaging (Hardback) 9781394174690","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAdvances in Aerial Sensing and Imaging\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eSandeep 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)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781394174690, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 23 February 2024\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e432 pages\u003cbr\u003e22.9 x 15.2 x 2.6 cm, 0.903 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAdvances \u003ci\u003ein\u003c\/i\u003e Aerial Sensing \u003ci\u003eand\u003c\/i\u003e Imaging\u003c\/b\u003e \u003cp\u003e \u003cb\u003eThis 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. \u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eThe 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.  \u003c\/p\u003e\n\u003cp\u003eAerial 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.  \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAudience \u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003eComputer 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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003ePreface xv\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAbhishek Bhola, Bikash Debnath and Ankita Tiwari\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 2\u003c\/p\u003e \u003cp\u003e1.2 Literature Work 5\u003c\/p\u003e \u003cp\u003e1.3 Challenges of Object Detection and Classification in Aerial Images 17\u003c\/p\u003e \u003cp\u003e1.4 Applications of Aerial Imaging in Various Domains 21\u003c\/p\u003e \u003cp\u003e1.5 Conclusions and Future Scope 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition 33\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMonali Gulhane and Sandeep Kumar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 34\u003c\/p\u003e \u003cp\u003e2.2 Literature Review 35\u003c\/p\u003e \u003cp\u003e2.3 Materials and Methods 37\u003c\/p\u003e \u003cp\u003e2.4 Discussion 40\u003c\/p\u003e \u003cp\u003e2.5 Result Analysis 41\u003c\/p\u003e \u003cp\u003e2.6 Conclusion 43\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI\/ML 47\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMunish Kumar, Poonam Jaglan and Yogesh Kakde\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 48\u003c\/p\u003e \u003cp\u003e3.2 Related Work 49\u003c\/p\u003e \u003cp\u003e3.3 Number of Accidents, Fatalities, and Injuries: 2016–2022 52\u003c\/p\u003e \u003cp\u003e3.4 Proposed Methodology 53\u003c\/p\u003e \u003cp\u003e3.5 Result Analysis 61\u003c\/p\u003e \u003cp\u003e3.6 Conclusion 63\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 A Machine Learning Approach for Poverty Estimation Using Aerial Images 69\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eNandan Banerji, Sreenivasulu Ballem, Siva Mala Munnangi and Sandeep Mittal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 70\u003c\/p\u003e \u003cp\u003e4.2 Background and Literature Review 73\u003c\/p\u003e \u003cp\u003e4.3 Proposed Methodology 76\u003c\/p\u003e \u003cp\u003e4.4 Result and Discussion 82\u003c\/p\u003e \u003cp\u003e4.5 Conclusion and Future Scope 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects 87\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAjay Kumar Singh and Suneet Gupta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 88\u003c\/p\u003e \u003cp\u003e5.2 UAVs Classification 90\u003c\/p\u003e \u003cp\u003e5.3 Agricultural Use of UAVs 96\u003c\/p\u003e \u003cp\u003e5.4 UAVs in Livestock Farming 101\u003c\/p\u003e \u003cp\u003e5.5 Challenges 104\u003c\/p\u003e \u003cp\u003e5.6 Conclusion 105\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications 109\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eNitish Mahajan, Aditi Chauhan and Monika Kajal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 110\u003c\/p\u003e \u003cp\u003e6.2 Related Work 111\u003c\/p\u003e \u003cp\u003e6.3 Experimental Methods 121\u003c\/p\u003e \u003cp\u003e6.4 Results and Outcomes 122\u003c\/p\u003e \u003cp\u003e6.5 Conclusion 123\u003c\/p\u003e \u003cp\u003e6.6 Future Scope 125\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images 129\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eChahil Choudhary, Anurag and Pranjal Shukla\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 130\u003c\/p\u003e \u003cp\u003e7.2 Literature Review 131\u003c\/p\u003e \u003cp\u003e7.3 Proposed Methodology 133\u003c\/p\u003e \u003cp\u003e7.4 Result and Discussion 135\u003c\/p\u003e \u003cp\u003e7.5 Conclusion and Future Scope 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation 145\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSwathi Gowroju, Shilpa Choudhary, Sandhya Raajaani and Regula Srilakshmi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 146\u003c\/p\u003e \u003cp\u003e8.2 Related Work 147\u003c\/p\u003e \u003cp\u003e8.3 Proposed Method 149\u003c\/p\u003e \u003cp\u003e8.4 Datasets 153\u003c\/p\u003e \u003cp\u003e8.5 Results and Discussion 154\u003c\/p\u003e \u003cp\u003e8.6 Conclusion 161\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations 165\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSidhant Sharma, Pradeepta Kumar Sarangi, Bhisham Sharma and Girija Bhusan Subudhi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 166\u003c\/p\u003e \u003cp\u003e9.2 Types of Ransomwares 167\u003c\/p\u003e \u003cp\u003e9.3 History of Ransomware 168\u003c\/p\u003e \u003cp\u003e9.4 Notable Ransomware Strains and Their Impact 171\u003c\/p\u003e \u003cp\u003e9.5 Mitigation Methods for Ransomware Attacks 184\u003c\/p\u003e \u003cp\u003e9.6 Cybersecurity in UAVs (Unmanned Aerial Vehicles) 185\u003c\/p\u003e \u003cp\u003e9.7 Experimental analysis of Wi-Fi Attack on Ryze Tello UAVs 194\u003c\/p\u003e \u003cp\u003e9.8 Results and Discussion 198\u003c\/p\u003e \u003cp\u003e9.9 Conclusion and Future Scope 206\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone 213\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eP.V.V.S. Srinivas, Dhiren Dommeti, Pragnyaban Mishra and T.K. Rama Krishna Rao\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10.1 Introduction 214\u003c\/p\u003e \u003cp\u003e10.2 Literature Review 216\u003c\/p\u003e \u003cp\u003e10.3 Proposed Work 220\u003c\/p\u003e \u003cp\u003e10.4 Experimentation and Results 223\u003c\/p\u003e \u003cp\u003e10.5 Future Work and Conclusion 230\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module 245\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSwathi Gowroju, Shilpa Choudhary, Medipally Rishitha, Singanaboina Tejaswi, Lankala Shashank Reddy and Mallepally Sujith Reddy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 246\u003c\/p\u003e \u003cp\u003e11.2 Literature Survey 247\u003c\/p\u003e \u003cp\u003e11.3 Proposed System 250\u003c\/p\u003e \u003cp\u003e11.4 Results 256\u003c\/p\u003e \u003cp\u003e11.5 Conclusion 264\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning 267\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHarish Padmanaban P. C. and Yogesh Kumar Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction 267\u003c\/p\u003e \u003cp\u003e12.2 Proposed Framework Optimized Parking Space Identifier (OPSI) 270\u003c\/p\u003e \u003cp\u003e12.3 Potential Impact 281\u003c\/p\u003e \u003cp\u003e12.4 Application and Results 284\u003c\/p\u003e \u003cp\u003e12.5 Discussion and Limitations 289\u003c\/p\u003e \u003cp\u003e12.6 Future Work 290\u003c\/p\u003e \u003cp\u003e12.7 Conclusion 290\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Graphical Password Authentication Using Python for Aerial Devices\/Drones 295\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSushma Singh and Dolly Sharma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e13.1 Introduction 296\u003c\/p\u003e \u003cp\u003e13.2 Literature Review 297\u003c\/p\u003e \u003cp\u003e13.3 Methodology 298\u003c\/p\u003e \u003cp\u003e13.4 A Brief Overview of a Drone and Authentication 299\u003c\/p\u003e \u003cp\u003e13.5 Password Cracking 305\u003c\/p\u003e \u003cp\u003e13.6 Data Analysis 307\u003c\/p\u003e \u003cp\u003e13.7 Discussion 309\u003c\/p\u003e \u003cp\u003e13.8 Conclusion and Future Scope 309\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles 313\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVandna Bansla, Sandeep Kumar, Vibhoo Sharma, Girish Singh Bisht and Akanksha Srivastav\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14.1 Introduction 314\u003c\/p\u003e \u003cp\u003e14.2 An Acquisition Method for 3D Data Utilising Annoyed Aerial Vehicles 315\u003c\/p\u003e \u003cp\u003e14.3 Background and Literature of Review 317\u003c\/p\u003e \u003cp\u003e14.4 Research Gap 319\u003c\/p\u003e \u003cp\u003e14.5 Methodology 319\u003c\/p\u003e \u003cp\u003e14.6 Discussion 321\u003c\/p\u003e \u003cp\u003e14.7 Conclusion 327\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Satellite Image Classification Using Convolutional Neural Network 333\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePradeepta Kumar Sarangi, Bhisham Sharma, Lekha Rani and Monica Dutta\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15.1 Introduction 334\u003c\/p\u003e \u003cp\u003e15.2 Literature Review 335\u003c\/p\u003e \u003cp\u003e15.3 Objectives of this Research Work 336\u003c\/p\u003e \u003cp\u003e15.4 Description of the Dataset 337\u003c\/p\u003e \u003cp\u003e15.5 Theoretical Framework 337\u003c\/p\u003e \u003cp\u003e15.6 Implementation and Results 339\u003c\/p\u003e \u003cp\u003e15.7 Conclusion and Future Scope 350\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Edge Computing in Aerial Imaging – A Research Perspective 355\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDivya Vetriveeran, Rakoth Kandan Sambandam, Jenefa J. and Leena Sri R.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16.1 Introduction 355\u003c\/p\u003e \u003cp\u003e16.2 Research Applications of Aerial Imaging 357\u003c\/p\u003e \u003cp\u003e16.3 Edge Computing and Aerial Imaging 366\u003c\/p\u003e \u003cp\u003e16.4 Comparative Analysis of the Aerial Imaging Algorithms and Architectures 376\u003c\/p\u003e \u003cp\u003e16.5 Discussion 379\u003c\/p\u003e \u003cp\u003e16.6 Conclusion 380\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Aerial Sensing and Imaging Analysis for Agriculture 383\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eMonika Kajal and Aditi Chauhan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17.1 Introduction 384\u003c\/p\u003e \u003cp\u003e17.2 Experimental Methods and Techniques 388\u003c\/p\u003e \u003cp\u003e17.3 Aerial Imaging and Sensing Applications in Agriculture 390\u003c\/p\u003e \u003cp\u003e17.4 Aerial Imaging and Sensing Applications in Livestock Farming 398\u003c\/p\u003e \u003cp\u003e17.5 Challenges in Aerial Sensing and Imaging in Agriculture and Livestock Farming 404\u003c\/p\u003e \u003cp\u003e17.6 Conclusion 406\u003c\/p\u003e \u003cp\u003eReferences 406\u003c\/p\u003e \u003cp\u003eIndex 411\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Scrivener","offers":[{"title":"Brand New","offer_id":52431056208152,"sku":"9781394174690","price":127.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781394174690.jpg?v=1784770153","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/advances-in-aerial-sensing-and-imaging-hardback-9781394174690","provider":"Freshly Printed Books","version":"1.0","type":"link"}