An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification

An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification

Spectral-spatial classification of hyperspectral image (HSI) has made enormous achievements in many applications. One of the critical attributes that affects classification accuracy is the width of HSI cube/patch. To seek the optimal sample width, most researches enumerate all possible widths and ve...

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Bibliographic Details
Main Authors: Ningyang Li, Zhaohui Wang, Faouzi Alaya Cheikh, Mohib Ullah
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Hyperspectral image classification
optimal sample width
influence factor
neutral short edge
centralized sample expansion
Online Access:https://ieeexplore.ieee.org/document/10318097/

Internet

https://ieeexplore.ieee.org/document/10318097/

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