Pan Sharpening is an important part of the Remote Sensing science. Obtaining high spatial resolution data can be crucial in some studies. Sentinel-2 provides data of 10, 20 and 60 meters, and it is a promising program for Earth observation studies. Although Sentinel-2 provides high range of multispectral bands, the lack of panchromatic band disables producing a set of fine-resolution (10 m) bands. However, few methods have been developed for increasing the spatial resolution of the 20 m bands up to 10 m. In this study, two different methods of producing panchromatic band have been compared. The first method uses the closest higher spatial resolution band to the lowest spatial resolution band as a panchromatic band, while the other method uses one single band as panchromatic band produced as an average value out of all fine resolution bands. The 60 m bands have not been taken into consideration in this study. In order to compare these methods, four image fusion techniques from different fusion subsections (Component substitution – Intensity Hue Saturation IHS; Numerical method – High Pass Filter HPF; Statistical Image Fusion – Principal Component Analysis PC; Hybrid Technique – Wavelet Principal Component WPC) have been applied on two Sentinel-2 images over the same study area, on different dates. For the accuracy assessment, both qualitative and quantitative analysis have been made.
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Sentinel-2 Pan Sharpening – Comparative Analysis
Published: 22 March 2018 by MDPI in 2nd International Electronic Conference on Remote Sensing session Product Validation
Keywords: Remote Sensing; Pan Sharpening; Image Fusion; Sentinel-2