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...

• •• CHAPTER I INTRODUCTION Introductory Statement Statement of the Problem • • Objectives • • • • CHAPTER II REVIEW OF LITERATURE Introductory Statement Remote Sensing Systems Photographic • • • Multispectral Scanner • Automatic Analysis Sequence Introduc'tion • . • • Statistical Analysis Feature Selection Classification . Results Display • CHAPTER III MATERIALS AND PROCEDURES Introductory Sta...

A variety of multi-spectral imaging methods are discussed for acquiring spectral information from a scene. We first review conventional multispectral imaging approach. The conventional imaging systems are mostly constructed by multi-band imaging devices with different filtration mechanism at the sensor side under passive illumination. We show some imaging devices, estimation algorithms, and app...

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...

In the paper is presented one new approach for efficient decorrelation of multispectral images, based on hierarchical adaptive Principal Component Analysis. The research is aimed at the efficient compression of multispectral images (MS), whose resolution and band number in some application areas are extremely high. Together with this, also grows up the needed volume of the corresponding image d...

Planned hyperspectral satellite missions and the decreased revisit time of multispectral imaging offer the potential for data fusion to leverage both the spectral resolution of hyperspectral sensors and the temporal resolution of multispectral constellations. Hyperspectral imagery can also be used to better understand fundamental properties of multispectral data. In this analysis, we use five f...

In this paper we present an automated method for classifying astronomical objects in multispectral wide-field images. The method is divided into three main tasks. The first one consists of locating and matching the objects in the multispectral images. In the second task we create a new representation for each astronomical object using its multispectral images, and also we find a set of features...

Giant Salvinia (Salvinia molesta) is one of the world’s most invasive aquatic weeds. We evaluated the accuracy of airborne multispectral digital video imagery for separating giant salvinia from other aquatic and terrestrial features at a study site located in northeast, Texas. The five-band multispectral digital video imagery was subjected to an unsupervised computer analysis to derive a themat...