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Image fusion is one of the most important image processing methods in the field of remote sensing. Multispectral (MS) or hyperspectral (HS) images are often fused with panchromatic (PAN) images to enhance their spatial resolution while preserving the spectral information, which will lead to a better interpretation in subsequent applications. In order to achieve this goal, an improved method of image...
To broaden the future application of CHANG'E-1 imagery, including hyperspectral imagery (low spatial resolution of 200m) and CCD imagery (relatively high spatial resolution of 120m), an ARSIS-based method for spatial-spectral fusion is proposed in this paper, which aims at combine high spatial and high spectral resolution. Firstly, ARSIS concept is employed, in which Àtrous wavelet is used to describe...
This paper proposes a new restoration method, only using the single image information, combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols, such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multi-sensors to generate a serial of virtual...
A fast and efficient spatial-spectral fusion method for resolution enhancement of hyperspectral imagery is proposed in this paper. A linear mixture model and fully constrained least squares based unmixing algorithm are applied for spectral unmixing of the hyperspectral imagery and the resulted fractional images are processed using a spatial-spectral information correlation model through a learning-based...
Multisensor image registration is necessary in many applications of remote sensing imagery, the crucial problem is how to establish the correspondence between the features extracted from the reference and input image. Generally, most existing methods only use feature similarity or intensity similarity. In this paper, a coarse-to-refined method, which combines modified scale invariant feature transform...
Image registration is one of the critical techniques in multi-sensor image fusion. Classical image registration method using similarity measures can only find Registration Control Point (RCP) on discrete points on images, which makes it difficult to get higher registration precision. This paper presents an image registration method based on Gaussian fitting matching, which takes two dimensional Gaussian...
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