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

被引：2
|
作者：
Vijayalakshmi, S. [1 ]
Kumar, Magesh [1 ]
Arun, M. [2 ]
机构：
[1] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Dept CSE, Chennai 602105, Tamil Nadu, India
[2] Dr MGR Educ & Res Inst, Dept CSE, Chennai, Tamil Nadu, India
来源：
MATERIALS TODAY-PROCEEDINGS | 2021年 / 37卷
关键词：
Image classification; Machine learning; Remote sensing; Accuracy; Assessment metrics;
D O I：
10.1016/j.matpr.2020.08.703
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2947 / 2951
页数：5
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