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Open AccessArticle

An Approach for the Pan Sharpening of Very High Resolution Satellite Images Using a CIELab Color Based Component Substitution Algorithm

1
Science and Technology Institute, Istanbul Technical University, Maslak, Istanbul 34469, Turkey
2
Department of Geomatics Engineering, Faculty of Civil Engineering, Istanbul Technical University, Maslak, Istanbul 34469, Turkey
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(23), 5234; https://doi.org/10.3390/app9235234
Received: 2 October 2019 / Revised: 28 November 2019 / Accepted: 29 November 2019 / Published: 1 December 2019
(This article belongs to the Special Issue Advances in Image Processing, Analysis and Recognition Technology)
Recent very high spatial resolution (VHR) remote sensing satellites provide high spatial resolution panchromatic (Pan) images in addition to multispectral (MS) images. The pan sharpening process has a critical role in image processing tasks and geospatial information extraction from satellite images. In this research, CIELab color based component substitution Pan sharpening algorithm was proposed for Pan sharpening of the Pleiades VHR images. The proposed method was compared with the state-of-the-art Pan sharpening methods, such as IHS, EHLERS, NNDiffuse and GIHS. The selected study region included ten test sites, each of them representing complex landscapes with various land categories, to evaluate the performance of Pan sharpening methods in varying land surface characteristics. The spatial and spectral performance of the Pan sharpening methods were evaluated by eleven accuracy metrics and visual interpretation. The results of the evaluation indicated that proposed CIELab color-based method reached promising results and improved the spectral and spatial information preservation. View Full-Text
Keywords: CIELab; component Substitution; Pan sharpening; Pléiades VHR Image CIELab; component Substitution; Pan sharpening; Pléiades VHR Image
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Rahimzadeganasl, A.; Alganci, U.; Goksel, C. An Approach for the Pan Sharpening of Very High Resolution Satellite Images Using a CIELab Color Based Component Substitution Algorithm. Appl. Sci. 2019, 9, 5234.

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