Dimensionality Reduction and Anomaly Detection Based on Kittler’s Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces

Dimensionality Reduction and Anomaly Detection Based on Kittler’s Taxonomy: Analyzing Water Bodies in Two Dimensional Spaces

Dimensionality reduction is one of the most used transformations of data and plays a critical role in maintaining meaningful properties while transforming data from high- to low-dimensional spaces. Previous studies, e.g., on image analysis, comparing data from these two spaces have found that, gener...

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Bibliographic Details
Main Authors: Giovanna Carreira Marinho, Wilson Estécio Marcílio Júnior, Mauricio Araujo Dias, Danilo Medeiros Eler, Rogério Galante Negri, Wallace Casaca
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
dimensionality reduction
remote sensing
Kittler’s taxonomy
anomaly detection
machine learning
image analysis
Online Access:https://www.mdpi.com/2072-4292/15/16/4085

Internet

https://www.mdpi.com/2072-4292/15/16/4085

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