Spectral unmixing is focused in the identification of spectrally pure signatures, called endmembers, and their corresponding abundances in each pixel of a hyperspectral image. Mainly focused on the spectral information contained in the hyperspectral images, endmember extraction techniques have recently included spatial information to achieve more accurate results. Several algorithms have been d...

Using Spectral Precision Distance Microscopy (SPDM) it is possible to measure positions and multiple distances between point-like fluorescent objects labelled with different spectral signatures far below the optical resolution criterion. In this paper, we report measurements and data acquisition using a Spatially Modulated Illumination (SMI) microscope. Furthermore, we studied some aspects of t...

Accurate spectral signature classification is a crucial step in the nonimaging detection and recognition of spaceborne objects. In classical hyperspectral recognition applications, especially where linear mixing models are employed, signature classification accuracy depends on accurate spectral endmember discrimination. In selected target recognition (ATR) applications, previous non-adaptive te...

Can we detect life on an unresolved Earth-like extrasolar planet? Future space missions will provide us with the first images and low-resolution spectra of exoEarths, and the question of the presence of biogenic spectral signatures in these data will undoubtedly feed an animated debate. Our only reference point at present is our own planet. In this lab you will measure the integrated spectrum o...

We address four unique signatures in pulsar gamma-ray radiation as predicted by polar-cap models. These signatures are expected to be present nearby the spectral high-energy cutoff at around several GeV. Their magnitude and, therefore, their observability depends strongly on the orientational factors, the rotation, as well as on the details of the polar cap structure. These strong predictions a...

In this paper we describe a model-based object identification system. Given a set of 3D objects and a scene containing one or more of these objects, the system identifies which objects appear in the scene by matching surface signatures. Surface signatures are feature vectors that reflect the probability of occurrence of the features for a given surface. Two types of surface signatures are emplo...

Independent component analysis (ICA) has shown success in blind source separation and channel equalization. Its applications to remotely sensed images have been investigated in recent years. Linear spectral mixture analysis (LSMA) has been widely used for subpixel detection and mixed pixel classification. It models an image pixel as a linear mixture of materials present in an image where the ma...

The purpose of this paper is to analyse the impact of surface soil moisture on spectral reflectance in the optical domain [0.4 – 15 μm]. This work is based on lab spectral reflectance measurements of many bare soils at different moisture contents. Firstly, a classification of bare soil samples is performed according to their spectral signatures: five classes are then defined. Secondly, the soil...