As one kind of remote sensing images of land use composed by various categories of surface objects difficult to obtain multi-distribution model of class spectral feature, analyzing the spectral characteristics of LU of multispectral RS imagery, this paper presents a self-adaptive adjustment of clustering center method. Depending on the intercepted situation of the cluster centers between differ...

We present a novel method to register multispectral acquisitions on a 3D model. The method is based on the external tracking of the acquisition systems using close-range photogrammetric techniques: multiple calibrated cameras simultaneously observe the successive acquisition systems in use. The views from these cameras are used to precisely determine the position of each acquisition system. All...

The quality of the results obtained from a multispectral acquisition system can be affected by several factors, including the training set on which the system characterization model relies and the optical filters that allow acquisition in different bands of the light spectrum. In this paper, we investigate the joint effect of training set and filter selection on the results of a typical multisp...

In this paper, through a series of specific examples, we illustrate some characteristics encountered in analyzing high dimensional multispectral data. The increased importance of the second order statistics in analyzing high dimensional data is illustrated, as is the shortcoming of classifiers such as the minimum distance classifier which rely on first order variations alone. We also illustrate...

Two photos of the famous Mona Lisa were taken in October 2004 to contribute towards improving the technical and scientific data of the masterpiece before moving it in April 2005. The capabilities of the multispectral system developed by the LUMIERE TECHNOLOGY Company within the scope of the European CRISATEL project have made it possible to achieve optimal spatial resolution on the masterpiece,...

There exist a number of satellites on different earth observation platforms, which provide multispectral images together with a panchromatic image, that is, an image containing reflectance data representative of a wide range of bands and wavelengths. Pansharpening is a pixel-level fusion technique used to increase the spatial resolution of the multispectral image while simultaneously preserving...

Land cover classification from remote sensing multispectral images has been traditionally conducted by using mainly spectral information associated with discrete spatial units (i.e. pixels). Geometric and topological characteristics of the spatial context close to every pixel have been either not fully treated or completely ignored. This article provides a review of the strategies used by a num...

Polarimetric SAR (POLSAR) and multispectral images provide different characteristics of the imaged objects. Multispectral provides information about surface material while POLSAR provides information about geometrical and physical properties of the objects. Merging both should resolve many of object recognition problems that exist when they are used separately. Through this paper, we propose a ...

Multispectral image capture, unlike traditional RGB imaging, records the colour signals in a scene. Most available devices are either filter-wheel multiple exposure systems or point-measuring diffraction grating based devices. In this article we introduce a 2D matrix, full spectral, single exposure capture system – the Applied Spectral Imaging SpectraCube – which determines multispectral images...