Recent Progress in UAV-AI Remote Sensing

ISBN 10: 372582083X / ISBN 13: 9783725820832

Published by MDPI AG, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This reprint delves into the cutting-edge intersection of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI), offering a comprehensive look at how these technologies are revolutionizing vegetation monitoring, target tracking, and various other applications. Featuring 15 in-depth articles, this Special Issue explores the potential of UAV multispectral and hyperspectral imagery for real-time dynamic monitoring and for the development of innovative methods for data interpretation. Some key features include, but are not limited to, the following:Focus on the application of AI techniques to process and model data from UAV sensors.Detailed analysis of UAV imagery in vegetation growth monitoring and dynamic target tracking.Topics include crop physical and chemical parameter inversion, crop growth monitoring, building extraction, and pest and disease forecasting.Novel approaches to extracting valuable information from UAV imagery.Essential reading for researchers, professionals, and students interested in UAV and AI integration.

Seller Inventory # 9783725820832

Bibliographic Details

• Title: Recent Progress in UAV-AI Remote Sensing
• Publisher: MDPI AG
• Publication Date: 2024
• Language: English
• ISBN 10: 372582083X
• ISBN 13: 9783725820832
• Binding: Buch
• Condition: Neu
• Dimensions: 250W x 175H x 25D millimeters 250 millimeters width by 175 millimeters height by 25 millimeters depth
• Weight: 985 grams

About this title

Synopsis

This reprint delves into the cutting-edge intersection of Unmanned Aerial Vehicles (UAV) and Artificial Intelligence (AI), offering a comprehensive look at how these technologies are revolutionizing vegetation monitoring, target tracking, and various other applications. Featuring 15 in-depth articles, this Special Issue explores the potential of UAV multispectral and hyperspectral imagery for real-time dynamic monitoring and for the development of innovative methods for data interpretation. Some key features include, but are not limited to, the following:

Focus on the application of AI techniques to process and model data from UAV sensors.Detailed analysis of UAV imagery in vegetation growth monitoring and dynamic target tracking.Topics include crop physical and chemical parameter inversion, crop growth monitoring, building extraction, and pest and disease forecasting.Novel approaches to extracting valuable information from UAV imagery.Essential reading for researchers, professionals, and students interested in UAV and AI integration.