A hybrid machine learning technique for feature optimization in object-based classification of debris-covered glaciers

A hybrid machine learning technique for feature optimization in object-based classification of debris-covered glaciers

Object-based features like spectral, topographic, and textural are supportive to determine debris-covered glacier classes. The original feature space includes relevant and irrelevant features. The inclusion of all these features increases the complexity and renders the classifier’s performance. Ther...

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Bibliographic Details
Main Authors: Shikha Sharda, Mohit Srivastava, Hemendra Singh Gusain, Naveen Kumar Sharma, Kamaljit Singh Bhatia, Mohit Bajaj, Harsimrat Kaur, Hossam M. Zawbaa, Salah Kamel
Format: Article
Language:English
Published: Elsevier 2022-11-01
Series:Ain Shams Engineering Journal
Subjects:
Decision tree
Feature selection
Machine learning
Object-based classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447922001204

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http://www.sciencedirect.com/science/article/pii/S2090447922001204

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