Multiple classifier system for remotely sensed data clustering

Multiple classifier system for remotely sensed data clustering

Abstract The Multiple Classifier System (or classifier ensemble) is the consensus of different clustering algorithms that can provide high accuracy for the best partition and thus overcome the constraints of conventional approaches based on single classifiers. The MCS is divided into two stages: Par...

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Bibliographic Details
Main Authors: Lamia Fatma Houbaba Chaouche Ramdane, Habib Mahi, Mostafa El Habib Daho, Mohammed El Amine Lazouni
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:IET Image Processing
Subjects:
Pattern recognition
Data and information; acquisition, processing, storage and dissemination in geophysics
Instrumentation and techniques for geophysical, hydrospheric and lower atmosphere research
Optical, image and video signal processing
Geophysical techniques and equipment
Online Access:https://doi.org/10.1049/ipr2.12349

Internet

https://doi.org/10.1049/ipr2.12349

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