Landsat 8 OLI Satellite Image Classification using Convolutional Neural Network

被引：14

作者：

Rai, Amit Kumar ^{[1
]}

Mandal, Nirupama ^{[2
]}

Singh, Akansha ^{[3
]}

Singh, Krishna Kant ^{[4
]}

机构：

[1] Asansol Engn Coll, Asansol, W Bengal, India

[2] Indian Inst Technol ISM Dhanbad, Dhanbad, Bihar, India

[3] Amity Univ Uttar Pradesh, Noida, India

[4] KIET Grp Inst, Ghaziabad, India

来源：

INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND DATA SCIENCE | 2020年 / 167卷

关键词：

Brovey Transform; PCA; CNN;

D O I：

10.1016/j.procs.2020.03.398

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An automated method for classification of multispectral satellite images using image fusion is presented in this paper. Principal Component Analysis(PCA),and convolutional neural network (CNN).This proposed method first take multispectral satellite image and apply Brovey transform method for fusion of three RGB bands with panchromatic band shaving spatial resolution of 30m and 15m respectively. Then Principal Component Analysis is applied on fused images for reducing dimension. After that Convolutional Neural Network has been applied for classification purpose. Classification outcomes of the proposed method are matched with FCM, GIFP-FCM,and FKLICM. (C) 2020 The Authors. Published by Elsevier B.V.

引用

页码：987 / 993

页数：7

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