Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation - Rilegato

 
9781839532122: Artificial Intelligence Applied to Satellite-based Remote Sensing Data for Earth Observation
Rilegato
ISBN 10: 1839532122 ISBN 13: 9781839532122
Casa editrice: Inst of Engineering & Technology, 2021

Sinossi

Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change.

This book shows how cutting-edge technologies such as artificial intelligence, including neural networks and deep learning, can be applied for processing satellite data for Earth observation. One of the objectives of this book is to explain how to develop a set of libraries for the implementation of artificial intelligence that could overcome some limits and encompass different aspects of research, ranging from data fusion to speckle filtering.

In the first part, the authors introduce remote sensing concepts and deep neural networks and convolutional neural networks. In the second part of the book, they present the main tools used for image processing, several simulations and the data processing of specific case studies as well as the testing of related datasets. The book ends with conclusions, open questions and future works and perspectives for artificial intelligence techniques applied to future satellite missions.

The book will be of interest to researchers focusing on using machine learning tools to process remote sensing data - particularly satellite data - for Earth observation. The book can also be used as a guide for researchers in many other fields of research who are interested in using ML techniques to process data and get reliable outcomes so they can make informed decisions for their specific objectives.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Editore
Inst of Engineering & Technology
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
1839532122
ISBN 13 
9781839532122
Rilegatura
Copertina rigida
Numero di pagine
300
Redattore
Del Rosso Maria Pia, Sebastianelli Alessandro, Ullo Silvia Liberata
Contatto del produttore
non disponibile
Persona responsabile
non disponibile