Enhancement of spectral quality of natural land cover in the pan-sharpening process

Katarzyna Siok; Ireneusz Ewiak; Agnieszka Jenerowicz

doi:10.1117/12.2325663

9 October 2018 Enhancement of spectral quality of natural land cover in the pan-sharpening process

Katarzyna Siok, Ireneusz Ewiak, Agnieszka Jenerowicz

Proceedings Volume 10789, Image and Signal Processing for Remote Sensing XXIV; 107891P (2018) https://doi.org/10.1117/12.2325663
Event: SPIE Remote Sensing, 2018, Berlin, Germany

Abstract

A high spectral resolution of remote sensing images is crucial for the precise environmental research purpose. Therefore, it is essential to preserve the high spectral resolution of satellite imagery in the pan-sharpening process. Unfortunately, the use of original panchromatic (PAN) images as high-spatial data in the pan-sharpening process is ambiguous with maintaining the spectral information about photographed objects as high as possible. Therefore, there is a reasonable need to simulate the high-spatial band. The research has involved the integration of two satellite multispectral (MS) images: Landsat-8 imagery (30 m) used as high-spectral data and Sentinel-2 imagery (10 m) used as high-spatial data. The new panchromatic bands based on Sentinel-2 data was performed. The channel combinations used in spectral indices such as: Difference Vegetation Index (DVI), Green Normalized Difference Vegetation Index (GNDVI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Simple Ratio (SR), and Ratio Vegetation Index (RVI) were utilized for the simulation purpose. Either the spectral quality of sharpened images and their suitability to a classification process were verified. In the assessment stage, a visual analysis, spectral quality indices, a comparison of spectral reflectance characteristics of natural land cover, and a supervised classification were applied. The research indicates the necessity to simulate the high-spatial channel to pan-sharpening process depending on the spectral resolution of the high-spectral imagery as well as depending on the type of object of interest (OOI). The application of appropriate modifications of the original high-spatial images makes it possible to keep the spectral information about photographed objects at a higher level than using original data. Thus, it is essential for the object identification process, change detection, and land management.

Citation Download Citation

Katarzyna Siok, Ireneusz Ewiak, and Agnieszka Jenerowicz "Enhancement of spectral quality of natural land cover in the pan-sharpening process ", Proc. SPIE 10789, Image and Signal Processing for Remote Sensing XXIV, 107891P (9 October 2018); https://doi.org/10.1117/12.2325663

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