THEOS图像泛锐化的光谱保存

Suwannee Phayapchaiyakun, S. Intajag, Thani Jintasuttisak
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引用次数: 0

摘要

遥感图像融合通常被称为泛锐化,它是一种将高分辨率全色图像与低分辨率质谱图像结合合成高分辨率多光谱图像的有效方法。目前流行的融合方法是基于强度-色调-饱和度(IHS)的方法。然而,基于IHS的方法存在两个主要问题:(i)红绿蓝(RGB)和IHS颜色系统之间的转换造成的色域外;(ii)由于图像融合时饱和度和强度的变化造成的颜色失真。该方法研究了强度与饱和度的关系,以保留融合后的THEOS图像的光谱信息。因此,我们找到了一个适合泛锐化的色彩空间,iHSL(改进的色调-饱和度-亮度),可以隔离强度或亮度成分。融合方法采用基于平滑滤波的强度调制技术,将PAN图像的空间信息与MS图像的强度分量进行融合。研究结果表明,该方法能较好地保留光谱信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectral preservation of pan-sharpening for THEOS imagery
Image fusion in remote sensing is usually called pan-sharpening, which is a useful method to synthesis a high resolution multispectral image (MS) from the combining of a high resolution panchromatic image (PAN) with a low resolution MS image. The popular fusion methods are intensity-hue-saturation (IHS)-based methods. However, the IHS-based methods have two major problems: (i) out-of-gamut due to transformation between red-green-blue (RGB) and IHS color systems and (ii) color distortion due to variation of saturation and intensity in image fusion. The proposed method studied on the relationship between intensity and saturation to preserve spectral information of the fusing THEOS images. Thus, we found a suitable color space, iHSL (improved hue-saturation-lightness) for pan-sharpening that can isolate the intensity or lightness component. The fusion method employs smooth filter-based intensity modulation technique to merge the spatial information from PAN with the intensity component from MS images. From the studied results, our method could preserve the spectral information better than the well-known IHS-based methods.
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