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Quality assessment of fusing Sentinel-2 and WorldView-4 imagery on Sentinel-2 spectral band values: a case study of Zagreb, Croatia

机译:融合Sentinel-2和WorldView-4图像的质量评估在Sentinel-2光谱频带值中的应用:以克罗地亚萨格勒布为例

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Image fusion methods aim at fusing low resolution and high-resolution image to obtain a new image that provides new information for the specific application. The main goal of this article is multitemporal Sentinel-2 image fusion using single WorldView-4 satellite image for urban area monitoring. Fusing those images should provide Sentinel-2 image with similar radiometric band value as original Sentinel-2 image, but with a spatial resolution of WorldView-4. Ehlers, Brovey Transform, Modified Intensity-Hue-Saturation, High-Pass Filtering, Hyperspherical Colour Space and Wavelet resolution merge fusion techniques were used for spatial enhancement of Sentinel-2 images. Original and fused images were first compared using standard statistical parameters, mean, median and standard deviation. Image quality analysis was conducted with different objective image quality measures like root mean square error, peak signal to noise ratio, universal image quality index, structural similarity index, relative dimensionless global error, spatial correlation coefficient, relative average spectral error, spectral angle mapper, multi-scale structural similarity index. Using these quality measures helped in determining the spectral and spatial preservation of fused images. Hyperspherical colour space method was selected as the best method for image fusion of Sentinel-2 and WorldView-4 image-based on standard statistical parameters and quality measures.
机译:图像融合方法旨在融合低分辨率和高分辨率图像,以获得为特定应用程序提供新信息的新图像。本文的主要目标是使用单界景观-4卫星图像进行多立体哨片-2图像融合,用于城市地区监测。融合这些图像应该向Sentinel-2图像提供,其具有与原始的Sentinel-2图像相似的辐射频带值,但具有WorldView-4的空间分辨率。 Ehlers,Brovey变换,改进的强度 - 色调饱和度,高通滤波,超球形颜色空间和小波分辨率合并融合技术用于Sentinel-2图像的空间增强。使用标准统计参数,平均值,中位和标准偏差来首先使用原始和融合图像。图像质量分析用不同的目标图像质量措施,如根均方误差,峰值信号到噪声比,通用图像质量指数,结构相似度指数,相对无量纲的全局误差,空间相关系数,相对平均光谱误差,谱角映射器,多尺度结构相似性指标。使用这些质量措施有助于确定融合图像的光谱和空间保存。基于标准统计参数和质量措施,选择了超球形颜色空间方法作为Sentinel-2和WorldView-4图像融合的最佳方法。

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