Highresolution remote sensing satellite data serve as a source for equilibrium line (EL) analysis on top of glaciers. Data fusion techniques are used in order to take advantage from both the multispectral and panchromatic information available from simultaneously acquired IRS-LISS and -PAN recordings. As a result of segmentation between snow and ice the EL is derived based on multispectral clas...

A robust, automatic algorithm is presented for classifying multispectral MR scans of the human head into nine tissue classes. User initialization is not required. The proposed algorithm is based on three principles: (i) a combination of scalar and multispectral Expectation-Maximization clustering stages are used for fast, unsupervised statistical analysis, (ii) the minimal required amount of pr...

Multispectral geospatial image sets retain the scene’s spatial and spectral information. To jointly use both of them for analysis purposes, we propose to extend the concept of wavelet packets, by introducing a new integrated multispectral entropy function. Each spectral band is individually decomposed by the wavelet packets transform, and then the entropy term is jointly guided by information f...

In this paper, we propose a multispectral analysis system using wavelet based Principal Component Analysis (PCA), to improve the brain tissue classification from MRI images. Global transforms like PCA often neglects significant small abnormality details, while dealing with a massive amount of multispectral data. In order to resolve this issue, input dataset is expanded by detail coefficients fr...

In the context of detection of weeds in crops for site-specific weed control, on-ground spectral reflectance measurements are the first step to determine the potential of remote spectral data to classify weeds and crops. Field studies were conducted for four years at different locations in Spain. We aimed to distinguish cruciferous weeds in wheat and broad bean crops, using hyperspectral and mu...

We introduce a new accurate and technology independent display color characterization model for color rendering of multispectral images. The establishment of this model is automatic, and does not exceed the time of a coffee break to be efficient in a practical situation. This model is a part of the color management workflow of the new tools designed at the C2RMF for multispectral image analysis...

Multispectral imaging is highly demanded for precise color reproduction and for various computer vision applications. Multispectral imaging with a multispectral color filter array (MCFA), which can be considered as a multispectral extension of commonly used consumer RGB cameras, could be a simple, low-cost, and practical system. A challenge of the multispectral imaging with the MCFA is multispe...

On board of Quickbird satellite two types of sensors are present: panchromatic and multispectral. The first acquires earth images within spectral range 0.405 μm – 1.053 μm; the second acquires simultaneously four images of the same scene, each of them within shorter range of spectrum (Blue, Green, Red, Near-Infrared). Panchromatic images present geometric resolution 0.60 m while multispectral o...

The overall goal of this paper is to develop a cost effective portable multispectral imaging instrument that inspectors or plant personnel can use for quality control. Food safety and quality in food industry, especially small plant is ongoing problem. Identification and separation of contaminated food is very important to protect the consumer from a potential source of food poisoning. The curr...

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...