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Improving Spectral Quality of IHS-Pansharpening Result by Integrating Equalization Process using SVE-DWT for Satellite Imagery Data

机译:通过使用SVE-DWT整合卫星图像数据的均衡过程来提高IHS仿生结果的光谱质量

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Remote Sensing satellite such as WorldView-4 has limitations in producing images that have advantages on both spectral and spatial resolution. This problem makes it necessary to divide the images into high spectral resolution multispectral (MS) and high spatial resolution panchromatic (PAN) images. The method of image fusing such as intensity-hue-saturation (IHS) pansharpening causes spectral distortion. This drawback is caused by overusing the pixel values from a PAN image. In this study, a new method was proposed that integrating IHS-pansharpening with Singular Value Equalization (SVE) as equalization process and Discrete Wavelet Transform (DWT) for preserving edge and detail information of the PAN image. The SVE method equalizes values on PAN images by intensity values in the IHS transformation process. The spectral quality produced from the proposed method shows the superiority to the original method when tested using spectral quality metrices like: RMSE, Spectral Angle Mapper (SAM) and Relative Dimensionless Synthesis Global Error (ERGAS).
机译:诸如WorldView-4之类的遥感卫星在产生图像方面存在局限性,这些图像在光谱和空间分辨率上均具有优势。此问题使得有必要将图像分为高光谱分辨率多光谱(MS)和高空间分辨率全色(PAN)图像。诸如强度色相饱和度(IHS)锐化之类的图像融合方法会导致光谱失真。此缺陷是由于过度使用PAN图像的像素值而引起的。在这项研究中,提出了一种新的方法,该方法将IHS泛锐化与奇异值均衡(SVE)作为均衡过程和离散小波变换(DWT)相集成,以保留PAN图像的边缘和细节信息。 SVE方法在IHS转换过程中通过强度值均衡PAN图像上的值。当使用诸如RMSE,光谱角映射器(SAM)和相对无量纲综合全局误差(ERGAS)之类的光谱质量度量进行测试时,从所提出的方法产生的光谱质量显示出优于原始方法的优越性。

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