Change Detection and Image Time-Series Analysis 2 (eBook)

Supervised Methods

Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone (Herausgeber)

eBook Download: PDF

2021 | 1. Auflage
272 Seiten
John Wiley & Sons (Verlag)
978-1-119-88227-5 (ISBN)

Infos

Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series.

Chapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches.

Chapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns.

Chapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations,

Chapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and/or multilabel change classification issues.

Produkt-Details

• Erscheint lt. Verlag: 19.11.2021
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Freizeit / Hobby ► Fotografieren / Filmen
• Themenwelt: Informatik ► Grafik / Design ► Digitale Bildverarbeitung
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Bild- u. Videoverarbeitung • Electrical & Electronics Engineering • Elektrotechnik u. Elektronik • Image and Video Processing • Mustererkennung • Pattern Analysis • Photonics & Lasers • Photonik • Photonik u. Laser • Zeitreihenanalyse
• ISBN-10: 1-119-88227-3 / 1119882273
• ISBN-13: 978-1-119-88227-5 / 9781119882275