Cultural heritage is increasingly put through imaging systems such as multispectral cameras and 3D scanners. Though these acquisition systems are often used independently, they collect complementary information (spectral vs. spatial) used for the study, archiving and visualization of cultural heritage. Recording 3D and multispectral data in a single coordinate system enhances the potential insi...

This paper shows the potential of LIDAR for extracting buildings and other objects from medium resolution satellite imagery. To that end, the study integrated multispectral and LIDAR elevation data in a single imagery file and then classified it using the Support Vector Machine. To determine the method’s potential, the study used a SPOT5 satellite from an area situated southeast of Madrid, Spai...

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...

Nonparametric discriminant analysis methods are considered to segment brain multispectral MR images. Methods are based on i) a nonparametric estimate of voxel density functions by Kernel regression; ii) possibly a transform of the multispectral voxels into principal or independent components; iii) a classic Bayes 0-1 classification rule. Experiments are shown based on synthetic (brainweb) and r...

Model based analysis or explicit definition/listing of all models or assumptions used in the derivation of an image fusion method allows us to understand the rationale or properties of existing methods and shows a way for a proper usage or proposal/selection of new methods ‘better’ satisfying the needs of a particular application. Most existing pan-sharpening methods are based mainly on the two...