Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures

Segment-Based Clustering of Hyperspectral Images Using Tree-Based Data Partitioning Structures

Hyperspectral image classification has been increasingly used in the field of remote sensing. In this study, a new clustering framework for large-scale hyperspectral image (HSI) classification is proposed. The proposed four-step classification scheme explores how to effectively use the global spectr...

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Bibliographic Details
Main Authors: Mohamed Ismail, Milica Orlandić
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Algorithms
Subjects:
hyperspectral image (HSI)
HSI clustering
HSI segmentation
k-means
watershed
Principle Component Analysis (PCA)
Online Access:https://www.mdpi.com/1999-4893/13/12/330

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https://www.mdpi.com/1999-4893/13/12/330

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