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REMOTE SENSING IMAGE COMPRESSION USING 3D-SPIHT ALGORITHM AND 3D-OWT

机译:使用3D-SPIHT算法和3D-OWT进行遥感图像压缩

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Remote Sensing is the gathering of information about a place from a distance. Such information can occur by sensors or satellite, without making any direct contact with that object. We present a new technique for the compression of remote sensing images based on wavelet transform. This transform has similar complexity as the separable wavelet transform while providing better energy compaction and staying critically sampled, which makes it a good candidate for compression application. This paper focus on compressing the remote sensing images based on 3D-OWT scheme and 3D-SPIHT algorithm. Result show that our scheme with filters performs as well and better in lossless coding systems using 3D Oriented Wavelet Transform on remote sensing images.
机译:遥感是从远处收集有关某个地方的信息。此类信息可以通过传感器或卫星发生,而无需与该对象直接接触。我们提出了一种基于小波变换的遥感图像压缩新技术。这种变换具有与可分离小波变换类似的复杂性,同时提供了更好的能量压缩并保持临界采样,这使其成为压缩应用的理想选择。本文重点研究了基于3D-OWT方案和3D-SPIHT算法的遥感图像压缩方法。结果表明,在基于3D方向小波变换的遥感影像无损编码系统中,我们的带滤波器方案表现更好,更好。

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