Y. Altmann, N. Brun , N. Dobigeon , K. March, S. Moussaoui, O. Schneegans 1School of Engineering and Physical Sciences, Heriot-Watt University Earl Mountbatten Building, Riccarton, EH14 4AS, Edinburgh, U.K. Laboratoire de Physique des Solides, CNRS UMR 8502, Univ. Paris-Sud, Univ. Paris-Saclay Bât. 510, 91405 Orsay Cedex, France University of Toulouse, IRIT/INP-ENSEEIHT/TéSA 2 rue Charles Camic...

In this paper, we present a statistical approach to spectral unmixing with unknown endmember spectra and unknown illuminant power spectrum. The method presented here is quite general in nature, being applicable to settings in which sub-pixel information is required. The method is formulated as a simultaneous process of illuminant power spectrum prediction and basis material reflectance decompos...

nessed the collection of measurements with significantly greater spectral breadth and resolution. It has been motivated by a desire to extract increasingly detailed information about the material properties of pixels in a scene for both civilian and military applications. While multispectral sensing has largely succeeded at classifying whole pixels, further analysis of the constituent substance...

Nowadays the use of hyperspectral imagery specifically automatic target detection algorithms for these images is a relatively exciting area of research. An important challenge of hyperspectral target detection is to detect small targets without any prior knowledge, particularly when the interested targets are insignificant with low probabilities of occurrence. The specific characteristic of ano...

Hyperspectral remote sensing image (HSI) include rich spectral information that can be very beneficial for change detection (CD) technology. Due to the existence of many mixed pixels, pixel-wise approaches lead considerable errors in resulting CD map. The unmixing (SU) method is a potential solution this problem, as it decomposes pixels into set fractions land cover. Subsequently, map created b...

BACKGROUND Currently, there are limited means for high-resolution monitoring of tissue injury during radiofrequency ablation procedures. OBJECTIVE To develop the next generation of visualization catheters that can reveal irreversible atrial muscle damage caused by ablation and identify viability gaps between the lesions. METHODS Radiofrequency lesions were placed on the endocardial surfaces...

Dimensionality Reduction (DR) is a crucial first step in many hyperspectral processing algorithms. In some applications, such as target detection, change detection and classification, it is important to preserve the information associated to rare pixels, i.e. pixels scarcely represented in the data and containing spectral components that are linearly independent of the background. This paper pr...

Unmixing method for estimation of mixing ratio of the components of which the pixel in concern consists based on inversion theory is proposed together with its application to sea ice estimation method with satellite based visible to near infrared radiometer data. Through comparative study on the different unmixing methods with remote sensing satellite imagery data, it is found that the proposed...