A study of various classification techniques used for very high-resolution remote sensing [VHRRS] images. (2021)

• Record Type: Journal Article
• Authors: Vijayalakshmi, S.; Kumar, Magesh; Arun, M.
• Is Part Of: Materials today. Volume 37(2021)Supplement Part 2
• Page Start: 2947
• Page End: 2951
• Publication Date: 2021
• Subjects: Image classification -- Machine learning -- Remote sensing -- Accuracy -- Assessment metrics; Materials science -- Congresses -- Periodicals; 620.1
• DOI: 10.1016/j.matpr.2020.08.703
• Languages: English
• ISSNs: 2214-7853

Abstract

Abstract: Image classification the most predominant applications in wide range of domains like image processing, computer vision etc. This paper analyses various image classification algorithm based on various machine learning technology and also most commonly used accuracy assessment metrics has been addressed. A wide range of methods increases its accuracy in image classification have attained higher range. Even though still enhancement is still undergoing to attain newer accuracy scorer. This paper provides a study of various image classification algorithms supported in machine learning technology. This study also gives brief information of essential accuracy testing metrics required for image classification.