Abstract
Abstract. The remote sensing satellites provide complementary images of different resolutions which need to be integrated using the techniques of image fusion. In this paper, image fusion using the IKONOS satellite data is discussed. Unlike other models which are based on sensor model, our approach is data centric including the effects of the sensor as well as the reflectance characteristics of the imaged object. A linear relationship is built between the panchromatic channel and the multispectral channel data. We then formulate a minimisation function in terms of Lagrange multiplier to optimally maximise the spectral consistency and minimise the error in variance. The variances of the downsampled multispectral channels are observed and compared with the original multispectral data. A chi-square goodness of fit test is performed to evaluate the data computed based on our algorithm. Simulation results are presented using the IKONOS 1m resolution panchromatic and 4 m resolution multispectral data.
Highlights
1.1 IntroductionIn the last few decades, geospatial technologies have taken a new dimension with the advent of satellite and computers
The high resolution panchromatic 16 × 16 pixels data is shown in figure 1 and corresponding 4 × 4 multispectral data is shown in figure 2
3.1.1 Results based on Case 1: Based on equations (4), (5) and (6) presented in Case 1, the projected high resolution multispectral for red, green and blue channels are shown in figure 3a, 3b and 3c respectively
Summary
1.1 IntroductionIn the last few decades, geospatial technologies have taken a new dimension with the advent of satellite and computers. The low resolution multispectral contains the colour information and sometimes is useful for accurate object identification and classification between similar objects These two types of imagery can be combined to accommodate a wide range of high resolution imagery applications. Data fusion has been defined as a “formal framework in which are expressed means and tools for the alliance of data of the same scene originating from different sources. It aims at obtaining information of greater quality; the exact definition of greater quality will depend upon the application” (Wald, 1998). A new image fusion methodology for satellite images is proposed in this paper
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