Importance of CNN in the Classification of Remote Sensing Images

被引：0

作者：

Kurian, Vinija ^{[1
]}

Jacob, Vinodkumar ^{[1
]}

机构：

[1] APJ Abdul Kalam Technol Univ, Mar Athanasius Coll Engn, Dept ECE, Kothamangalam, Kerala, India

来源：

2023 ADVANCED COMPUTING AND COMMUNICATION TECHNOLOGIES FOR HIGH PERFORMANCE APPLICATIONS, ACCTHPA | 2023年

关键词：

CNN; classification of images; remote sensing dataset; measures for evaluation; CONVOLUTIONAL NEURAL-NETWORK;

D O I：

10.1109/ACCTHPA57160.2023.10083375

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we can observe how CNN plays an important role in the classification of remote sensing images. Here we have discussed about different methods that are available for classification of images. The commonly used remote sensing dataset are mentioned here and the structure of convolutional neural network is described. The current state of the art of classification of remote sensing images also presented here.Various measures for evaluation of classification-Average Accuracy(AA),Overall Accuracy(OA) and Kappa coefficient of different deep neural networks that are available in literature are also compared here.

引用

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页数：4

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