J. Anthony Gualtieri

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Traditionally, classi ers model the underlying density of the various classes and then nd a separating surface. However density estimation in high-dimensional spaces su ers from the Hughes e ect (Hughes, 1968), (Landgrebe, 1999): For a xed amount of training data the classi cation accuracy as a function of number of bands reaches a maximum and then(More)
Hyperspectral imaging offers the possibility of characterizing materials and objects in the air, land and water on the basis of the unique reflectance patterns that result from the interaction of solar energy with the molecular structure of the material. In this paper, we provide a seminal view on recent advances in techniques for hyperspectral data(More)
During the last several years, a number of airborne and satellite hyperspectral sensors have been developed or improved for remote sensing applications (Green, 1988-2000; Vane et al., 1993; Kruse & Boardman, 1999). Imaging spectrometry allows the detection of materials, objects and regions in a particular scene with a high degree of accuracy. Hyperspectral(More)
Two methods for performing clear-air temperature retrievals from simulated radiances for the Atmospheric Infrared Sounder are investigated. Neural networks are compared with a well-known linear method in which regression is performed after a change of bases. With large channel sets, both methods can rapidly perform clear-air retrievals over a variety of(More)
Partitioning a set ofN patterns in ad-dimensional metric space intoK clusters — in a way that those in a given cluster are more similar to each other than the rest — is a problem of interest in many fields, such as, image analysis, taxonomy, astrophysics, etc. As there are approximatelyK N/K! possible ways of partitioning the patterns amongK clusters,(More)
Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the measurement, analysis, and interpretation of spectra acquired from a given scene (or specific object) at a short, medium or long distance by an airborne or satellite sensor. Analysis in a timely manner of the acquired multidimensional images allows to develop(More)
The use of hyperspectral data to determine the abundance of constituents in a certain portion of the Earth’s surface relies on the capability of imaging spectrometers to provide a large amount of information at each pixel of a certain scene. Today, hyperspectral imaging sensors are capable of generating unprecedented volumes of radiometric data. The(More)