Two Efficient Hybrid Methods for Enhancing Pan-Sharpening of Multi-spectral Images Transmitted from Satellite to Ground
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RESEARCH ARTICLE
Two Efficient Hybrid Methods for Enhancing Pan-Sharpening of Multispectral Images Transmitted from Satellite to Ground Stations Tamer M. Talal1
•
Gamal Attiya2 • Mohamed R. Metwalli1 • Fathi E. Abd El-Samie2 • M. I. Dessouky2
Received: 10 January 2018 / Accepted: 19 March 2019 / Published online: 30 April 2019 Indian Society of Remote Sensing 2019
Abstract Pan-sharpening is one of the most important tasks performed on satellite images as it enhances spectral and spatial information of the images. Empirical mode decomposition (EMD) is one of the powerful methods for pan-sharpening. It first decomposes the image into a set of intrinsic mode functions and a residual component. These panchromatic and multispectral components are then fused to create an enhanced pan-sharpened image. This paper presents two efficient hybrid methods to enhance pan-sharpening of multi-spectral images. The new proposals combine the EMD with the two pansharpening methods: high-pass filtering and discrete wavelet transform to maximize the pan-sharpened image quality. The two methods are evaluated using satellite images of Cairo and Suez Canal region, Egypt, captured by Spot-4 and Landsat-8 satellites, respectively. The results imply that the proposed hybrid methods provide better qualitative and quantitative results compared to the individual and the common pan-sharpening methods. Keywords Pan-sharpening EMD DWT HPF Landsat-8 Image fusion Spot-4
Introduction Remote sensing satellites offer a huge amount of data that has various characteristics of temporal, spatial, radiometric, and spectral resolutions. However, many remote sensing applications such as image classification and feature extraction require high spatial and multi-spectral resolutions at the same time in a single image. Nevertheless, there are constraints to realize this issue by using satellite images, directly. In satellite imaging, we have two types of images; panchromatic and multi-spectral. The panchromatic images are transmitted with the maximum spatial resolution, while the multi-spectral images are transmitted with coarser/lower resolution. Therefore, for the optimum utilization of these characteristics, the panchromatic image should be combined with the multi-spectral data in a single image to convey more information. & Tamer M. Talal [email protected] 1
National Authority for Remote Sensing and Space Sciences (NARSS), Cairo, Egypt
2
Faculty of Electronics Engineering, Menoufia University, Menouf, Egypt
Image fusion methods allow the integration of different information sources all together to improve information extraction. The main goal is to integrate complementary multi-sensor, multi-temporal and/or multi-view information into one image that contains information of greater quality that cannot be achieved otherwise. The exact definition of ‘‘better quality’’ depends on the dedicated application (Wald 1999). Recently, the development of earth remote sensing satellites is mainly focused on enhancing the spatial and spectral i
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