Efficient Hybrid Method for Pan-Sharpening Enhancement of Multiband Satellite Images

Document Type : Original Article

Authors

1 Dept. of Space National Authority for Remote Sensing and Space Sciences (NARSS) Cairo, Egypt

2 Dept. of Computer Science and Engineering Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

3 Dept. of Data reception National Authority for Remote Sensing and Space Sciences (NARSS) Cairo, Egypt

4 Dept. of Communications Faculty of Electronic Engineeing, Menofia University Menouf, Egypt

5 Dept. of Communications Faculty of Electronic Engineeing, Menofia University

Abstract

Pan-sharpening considers one of the most important applications for satellite images as it enhances spectral and spatial information for the images. Empirical Mode Decomposition (EMD) is one of the most powerful techniques for pan-sharpening. It first decomposes the image into a set of Intrinsic Mode Functions (IMFs) and a residual component. These panchromatic and multispectral components are then fused to create an enhanced pan-sharpened image. This paper presents an efficient hybrid method for enhancing pan-sharpening of multiband images transmitted from satellite to ground stations. The proposed approach combines this EMD technique with the most powerful conventional method; Discrete Wavelet Transform (DWT), to maximize the pan-sharpening gain. The proposed hybrid method is validated using satellite images of Nile Valley and Suez Canal region, Egypt, captured by Spot-4 and Landsat-8 satellites. The results imply that the proposed hybrid method provides better qualitative and quantitative quality comparing with the individual and the most common pan-sharpening methods.

Keywords


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