A new super resolution Bayesian method for pansharpening multispectral images which incorporates sensor characteristics to model the observation process of both the panchromatic and the multispectral images is presented in this paper. The quality of the pansharpened images is assessed both qualitatively and quantitatively. Preliminary results are very promising: the method succeeded in preservi...

Under controlled illumination conditions, visual Face Recognition systems perform well for faces with low or no disguise [1]. Infrared (Thermal) Face Recognition provides an enticing alternative to Visible Face Recognition due to the relative insensitivity of IR imagery to illumination changes and disguise [2]. Image fusion is in fact a combination that extracts redundant and complementary info...

To verify the features of an object or an area, there is a need to merge panchromatic images with high spatial resolution and multispectral images with high spectral resolution. Standard fusion methods like IHS transform are not satisfactory, because they distort spectral characteristics of the multispectral data. In wavelet methods, the aim is to decompose the image into subbands, which have t...

In this paper, a new multispectral image wavelet representation is introduced, based on multiscale fundamental forms. This representation describes gradient information of multispectral images in a multiresolution framework. The representation is in particular extremely suited for the fusion and merging of multispectral images. For fusion as well as for merging, a strategy is described. Experim...

Pansharpening technique is used for fusion of low spatial resolution multispectral image and high spatial resolution panchromatic image, to increase the spatial resolution of multispectral image. Intensity-Hue-Saturation pan sharpening method has been used for most of the practical pansharpening applications but it offers some spectral distortion. Therefore, it has been used in integration with...

In this paper we propose a novel algorithm for the pansharpening of multispectral images based on the use of a Total Variation (TV) image prior. Within the Bayesian formulation, the proposed methodology incorporates prior knowledge on the expected characteristics of multispectral images, and uses the sensor characteristics to model the observation process of both panchromatic and multispectral ...

Spectral imaging including machine vision and multispectral imaging can provide a rapid, nondestructive means to assess agricultural commodities for their quality and safety for human consumption. These nondestructive techniques generally rely on reflectance measurements; the most commonly used spectral regions range through the visible (Vis) to the near infrared (NIR). Another optical sensing ...

HJ-1-A satellite, developed by China independently, was equipped with two sensors of Hyper Spectral Imager (HSI) and multispectral sensor (CCD). In this paper, we examine the benefits of combining data from CCD data (high-spatial-resolution, low-spectral-resolution image) with HSI data (low -spatial-resolution, high -spectral-resolution image). Due to the same imaging time and similar spectral ...