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A New Sight for Direct Decorrelation Stretch Techniques

多光譜影像解相關伸展技術的一種新視野

摘要


Two decorrelation stretch techniques called Direct Decorrelation Stretch (DDS) and Intensity Conservation DDS (ICDDS) have been recommended for applications on highly correlated multispectral images. This work examines the approaches of DDS and ICDDS in more details and seeks to clarity some apparent misconceptions in saturation stretching. To describe the misconceptions, an IHS substitution (IHSS) technique is proposed. For saturation stretching or image fusion, the fact that the product of saturation value and intensity value equals to a constant value, the hue is unchanged and the saturation value of a pixel is inversely proportional to its intensity value. This fact is crucial to be considered in designing the algorithms.

並列摘要


目前多光譜影像存在有各光譜間彼此高度相關的問題,為解決此問題遂有解相關伸展技術的提出,其中一種稱為直接的解相關伸展技術(Direct Decorrelation Stretch;DDS),另一種則為影像強度保持解相關伸展技術(Intensity Conservation DDS;ICDDS)。本論文旨在更詳細檢視DDS和ICDDS方法在飽和度伸展過程中一般人未注意的一些明顯誤解。為了說明這些誤解,本文提出一個IHS代換技術(IHSS)是基於相同基礎上來檢視飽和度變化。事實上就飽和度伸展或影像融合來說,影像原色是不會改變的,飽和度值與影像強度值的乘積是一常數值,亦即飽和度值與影像強度值成反比關係。這個現象是很重要的,因此在設計演算法過程中應該要考慮到此因素。

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