下面主要介绍一下多光谱变换(Spectral Enhancement)的实习过程:一 实习目的 1 了解多光谱变换的概念,对比其与空间增强和辐射增强有何不同; 2 理解主成分分析的数学原理,方差、协...
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在数字图像小波多分辨率分析理论基础上,采用小波变换方法对高分辨遥感图像的目标地物边缘进行信息增强,然后与多光谱遥感图像进行特征信息融合。
After the wavelet's multi-resolution analysis, a feature fusion approach was adopted to enhance remote sensing image edge and improve the definition and resolving power of the image.
首先探讨了基于提升方案的整数小波变换,结合线性预测技术,提出了一种机载多光谱遥感图像的无损压缩方法。
A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.
结合这种压缩思想,用基于离散余弦变换和基于离散小波变换的压缩算法,对实用型模块化成像光谱仪多光谱图像进行压缩。
Combining the thought dimensioned above, with discrete cosine transform-based and DWT-based compression algorithms, the OMIS multi-spectral images are compressed.
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