Evaluating the Quality of Compression in Very High Resolution Satellite Images Using Different Compression Methods

被引：0

作者：

Sanjith, S. ^{[1
]}

Ganesan, R. ^{[2
]}

机构：

[1] Noorul Islam Ctr Higher Educ, Dept Comp Sci & Engn, Kumarcoil, Tamil Nadu, India

[2] Noorul Islam Ctr Higher Educ, Dept Elect & Instrumentat, Kumarcoil, Tamil Nadu, India

来源：

INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH IN AFRICA | 2015年 / 19卷

关键词：

Mean Square Error (MSE); Signal to Noise Ratio (SNR); Peak Signal to Noise Ratio (PSNR); JPEG; SPIHT; JPEG2000; Satellite image compression;

D O I：

10.4028/www.scientific.net/JERA.19.91

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The rapid growth of remote sensing technology has a great advantage in producing high resolution images which are huge in data volume. Due to the huge volume it is tedious to store and transmit the data. In order to overcome this, a good compression algorithm should be used to compress the data before storing are transmitting. In this paper we have chosen seven different very high resolution satellite images namely Worldview 3, Worldview 2, GeoEye-1, Worldview 1, Pleiades, Quick Bird and IKONOS they are compressed using three different compression methods JPEG, SPIHT and JPEG2000. The Mean square Error, Signal to noise Ratio and Peak Signal to Noise Ratio are calculated to evaluate the quality of the compression methods in very high resolution satellite images.

引用

页码：91 / 102

页数：12

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