Experimental Analysis of Compacted Satellite Image Quality Using Different Compression Methods
Experimental Analysis of Compacted Satellite Image Quality Using Different Compression Methods
复制标题
不同压缩方法压缩卫星图像质量的实验分析
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
R. Isaac
中科院分区：
文献类型：
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作者：
S. Sanjith;R. Ganesan;R. Isaac
采用联合摄影专家组（Joint Photographic Expert Group， JPEG）、嵌入式零树小波（Embedded Zero tree Wavelet， EZW）、分层树集分割（Set Partitioning In Hierarchical tree， SPIHT）和联合摄影专家组2000 （Joint Photographic Expert Group, JPEG 2000）四种不同的压缩方法，对不同卫星图像（LANDSAT 7、MODIS、ASTER）压缩后的质量进行了实验比较。利用VCDemo软件包对具有不同光谱带、图像比特率和细节水平的三种不同类型的卫星传感器图像进行压缩。通过计算均方误差（MSE）、信噪比（SNR）和峰值信噪比（PSNR）值来确定压缩后图像的质量。这些值用适当的表格和图表来描述。通过比较得到的值，我们发现不同的压缩方法对每个卫星图像的影响是不同的，这取决于它们的图像比特率和细节水平。本文中使用的压缩方法有不同的算法来执行适合卫星图像的压缩，我们提出寻找最佳的卫星图像压缩方法。
In this paper we present the experimental results by comparing the quality of different satellite images (LANDSAT 7, MODIS, ASTER) after compression using four different methods namely Joint Photographic Expert Group (JPEG), Embedded Zero tree Wavelet (EZW), Set Partitioning in Hierarchical Tree (SPIHT), Joint Photographic Expert Group—2000 (JPEG 2000) are presented. Compression is performed with three different types of satellite sensor images, having different spectral bands, picture bit-rate and level of details using VCDemo software package. The Mean Square Error (MSE), Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio (PSNR) values are calculated to determine the quality of the image after compression. The values are depicted in appropriate tables and figures. While comparing the obtained values we found that the compression methods have different impacts in each satellite image according to their picture bit-rate and level of details. The compression methods used in this work have different algorithms to perform the compression which are suitable for satellite images, we proposed to find the best method for satellite image compression.