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Record Nr. |
UNINA9910554872203321 |
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Titolo |
Change detection and image time series analysis 2 : supervised methods / / edited by Abdourrahmane M. Atto, Francesca Bovolo, Lorenzo Bruzzone |
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Pubbl/distr/stampa |
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Hoboken, New Jersey : , : John Wiley & Sons, Incorporated, , [2021] |
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©2021 |
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ISBN |
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1-119-88228-1 |
1-119-88229-X |
1-119-88227-3 |
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Descrizione fisica |
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1 online resource (288 pages) |
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Disciplina |
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Soggetti |
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Image analysis |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- List of Notations -- 1. Hierarchical Markov Random Fields for High Resolution Land Cover Classification of Multisensor and Multiresolution Image Time Series -- 1.1. Introduction -- 1.1.1. The role of multisensor data in time series classification -- 1.1.2. Multisensor and multiresolution classification -- 1.1.3. Previous work -- 1.2. Methodology -- 1.2.1. Overview of the proposed approaches -- 1.2.2. Hierarchical model associated with the first proposed method -- 1.2.3. Hierarchical model associated with the second proposed method -- 1.2.4. Multisensor hierarchical MPM inference -- 1.2.5. Probability density estimation through -- 1.3. Examples of experimental results -- 1.3.1. Results of the first method -- 1.3.2. Results of the second method -- 1.4. Conclusion -- 1.5. Acknowledgments -- 1.6. References -- 2. Pixel-based Classification Techniques for Satellite Image Time Series -- 2.1. Introduction -- 2.2. Basic concepts in supervised remote sensing classification -- 2.2.1. Preparing data before it is fed into classification algorithms -- 2.2.2. Key considerations when training supervised classifiers -- 2.2.3. |
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