Advances in Aerial Sensing and Imaging
  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

About this book

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.

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Yes, you can access Advances in Aerial Sensing and Imaging by Sandeep Kumar,Abhishek Bhola,Ravinder Kaur,A. Senthil,K.M.V.V. Prasad,Nageswara Rao Moparthi,K. M. V. V. Prasad in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Preface
  6. Chapter 1 A Systematic Study on Aerial Images of Various Domains: Competences, Applications, and Futuristic Scope
  7. Chapter 2 Oriental Method to Predict Land Cover and Land Usage Using Keras with VGG16 for Image Recognition
  8. Chapter 3 Aerial Imaging Rescue and Integrated System for Road Monitoring Based on AI/ML
  9. Chapter 4 A Machine Learning Approach for Poverty Estimation Using Aerial Images
  10. Chapter 5 Agriculture and the Use of Unmanned Aerial Vehicles (UAVs): Current Practices and Prospects
  11. Chapter 6 An Introduction to Deep Learning-Based Object Recognition and Tracking for Enabling Defense Applications
  12. Chapter 7 A Robust Machine Learning Model for Forest Fire Detection Using Drone Images
  13. Chapter 8 Semantic Segmentation of Aerial Images Using Pixel Wise Segmentation
  14. Chapter 9 Implementation Analysis of Ransomware and Unmanned Aerial Vehicle Attacks: Mitigation Methods and UAV Security Recommendations
  15. Chapter 10 A Framework for Detection of Overall Emotional Score of an Event from the Images Captured by a Drone
  16. Chapter 11 Drone-Assisted Image Forgery Detection Using Generative Adversarial Net-Based Module
  17. Chapter 12 Optimizing the Identification and Utilization of Open Parking Spaces Through Advanced Machine Learning
  18. Chapter 13 Graphical Password Authentication Using Python for Aerial Devices/Drones
  19. Chapter 14 A Study Centering on the Data and Processing for Remote Sensing Utilizing from Annoyed Aerial Vehicles
  20. Chapter 15 Satellite Image Classification Using Convolutional Neural Network
  21. Chapter 16 Edge Computing in Aerial Imaging – A Research Perspective
  22. Chapter 17 Aerial Sensing and Imaging Analysis for Agriculture
  23. Index