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Improving the spatial resolution of the images Ikonos beginning with Unmanned Aerial Vehicle (UAV): An application of image fusion with wavelet transform

机译:从无人机(UAV)开始提高Ikonos图像的空间分辨率:小波变换在图像融合中的应用

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This article aims to develop and evaluate two methodologies for improving the spatial resolution without significant loss of the spectral resolution of a multi-spectral Ikonos image using an image acquired with an UAV. In the first method from multi-spectral image and image acquired with the UAV get the intensity of the multispectral image (Im) and the intensity of UAV (Iv), using the RGB-IHS transformation respectively. Then applying fusion to the intensity components of Im and Iv using Wavelet transform together with ARSIS' technique to genere a new intensity (n_Imv). This n_Imv together with hue and saturation obtained from Ikonos image are transformed inversely to generate a new multispectral image (N-MULT-I). In the second process a new panchromatic is created through of average of three RGB bands of UAV's image (fpan), then fusion is applied using wavelet transform to Im and fpan to generate a new intensity (n_Ifpm). Using n_Ifpm and hue and saturation components of IKonos image a new image multispectral is generated (N-MULT-fpan). Finally, results are shown and there are evaluated with Correlation Coefficient, ERGAS, RASE and Qu. Finding that better results are obtained with the second process.
机译:本文旨在开发和评估两种方法,以提高空间分辨率,而不会严重损失使用UAV采集的图像的多光谱Ikonos图像的光谱分辨率。在第一种方法中,从多光谱图像和使用UAV获取的图像分别使用RGB-IHS变换获得多光谱图像的强度(Im)和UAV的强度(Iv)。然后使用小波变换和ARSIS技术将融合应用于Im和Iv的强度分量,以产生新的强度(n_Imv)。对该n_Imv以及从Ikonos图像获得的色相和饱和度进行逆变换,以生成新的多光谱图像(N-MULT-1)。在第二个过程中,通过UAV图像的三个RGB波段的平均值创建新的全色(fpan),然后使用小波变换对Im和fpan进行融合以生成新的强度(n_Ifpm)。使用IKonos图像的n_Ifpm以及色相和饱和度分量,将生成一个新的图像多光谱图像(N-MULT-fpan)。最后,显示结果并用相关系数,ERGAS,RASE和Qu进行评估。发现通过第二个过程可以获得更好的结果。

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