Gabor Features Extraction and Land-Cover Classification of Urban Hyperspectral Images for Remote Sensing Applications

Gabor Features Extraction and Land-Cover Classification of Urban Hyperspectral Images for Remote Sensing Applications

The principles of the transform stage of the extract, transform and load (ETL) process can be applied to index the data in functional structures for the decision-making inherent in an urban remote sensing application. This work proposes a method that can be utilised as an organisation stage by reduc...

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Bibliographic Details
Main Authors: Clara Cruz-Ramos, Beatriz P. Garcia-Salgado, Rogelio Reyes-Reyes, Volodymyr Ponomaryov, Sergiy Sadovnychiy
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Remote Sensing
Subjects:
feature extraction
urban hyperspectral images
dimension reduction
gabor features
artificial neural network
Online Access:https://www.mdpi.com/2072-4292/13/15/2914

Internet

https://www.mdpi.com/2072-4292/13/15/2914

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