A study of different compression algorithms for multispectral images

被引：3

作者：

Vura S. ^{[1
,2
]}

Patil P. ^{[3
]}

Patil S.B. ^{[4
]}

机构：

[1] Department of Electronics and Communication Engineering, School of Engineering and Technology, CMR University, Bengaluru

[2] Research Scholar, VTU, Belagavi

[3] B-108 Garuda Block M R Sannidhi Apartment, Arehalli Utttarahalli Hobli, Bengaluru

[4] Department of Computer Science and Engineering, Sai Vidya Institute of Technology, Bengaluru

来源：

Materials Today: Proceedings | 2023年 / 80卷

关键词：

Algorithms; Compression; Multispectral image; Satellites; Transforms;

D O I：

10.1016/j.matpr.2021.06.175

中图分类号：

学科分类号：

摘要：

Remote Sensing satellites acquire information about an area by analyzing the transmitted and reflected radio waves. The Earth Imaging satellites capture high resolution images which occupy more storage space on-board and consume a lot of bandwidth for downlink transmission. Multispectral sensors represent information of the images in multiple bands which are typically less than 15. The multispectral image compression algorithms aim to reduce the size of the images while preserving their quality. This paper involves a study of various algorithms used for compression of multispectral imagery. © 2021

引用

页码：2193 / 2197

页数：4

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