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