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Characterization of the joint (among wavebands) probability density function (pdf) of hyperspectral imaging (HSI) data is crucial for several applications, including the design of constant false alarm rate (CFAR) detectors and statistical classifiers. HSI data are vector (or equivalently multivariate) data in a vector space with dimension equal to the(More)
In this paper, we introduce a set of taxonomies that hierarchically organize and specify algorithms associated with hyperspectral unmixing. Our motivation is to collectively organize and relate algorithms in order to assess the current state-of-the-art in the field and to facilitate objective comparisons between methods. The hyperspectral sensing community(More)
Real-time detection and identification of man-made objects or materials (" targets ") from airborne platforms using hyper-spectral sensors are of great interest for civilian and military applications. Over the past several years, different algorithms for the detection of targets with known spectral signature have been developed. Most of these algorithms(More)
Two studies focusing on differences in thinking strategies between intellectually gifted and creative children were undertaken. In the first study (N = 29), ethnographic techniques of observation along with testing and problem-solving interviews were used in a regular classroom. Three subjects (one high IQ and high creativity, one high IQ and low(More)
The author hereby grants to MIT permission to reproduce and distribute publicly paper and electronic copies of this thesis document in whole or in part and in any medium now known or hereafter created. Abstract A control system for a MEMS fast steering mirror is designed and implemented to accurately steer a laser beam. This document contains a(More)