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Hyperspectral and Spectro-Polarimetric Pixel-Level Classification Using Genetic Programming
This is a ARMY RESEARCH LAB ADELPHI MD report procured by the Pentagon and made available for public release It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A238793. The abstract provided by the Pentagon follows: The objective force will be relying heavily on their sensors to be a combat multiplier to help improve the force's effectiveness and survivability, particularly for reconnaissance, surveillance, and target acquisition missions. Currently, fielded passive sensor systems are generally ineffective against camouflage, concealment, and deception. Their performance is also sensitive to environmental conditions. To meet future needs, several new sensor systems are being developed and evaluated. Two of these new sensors are passive systems that collect additional, measurable characteristics of light: hyperspectral (HS) systems and spectro-polarimetric (SP) systems. To fully take advantage of the information that these systems collect requires new algorithms and techniques. This report discusses why new techniques are necessary and details the development of a computer-assisted design system for the discovery of classification algorithms via a small number of sample target and background signatures. The technique is called genetic programming (GP). GP is an adaptive learning technique that automatically generates a computer program (in this work, a mathematical equation) to solve the problem it is given. This report documents work conducted primarily between September 1999 and August 2000, while the author was on a rotation at the University of Michigan under the Federated Laboratories Consortium program. The report demonstrates that GP could be a useful technique for processing HS and SP data..
Price: $25.95 [Notify me when price goes down.]


Plaque Imaging: Pixel to Molecular Level (Studies in Health Technology and Informatics, Vol. 113) (Studies in Health Technology and Informatics)
This publication starts of with a review of plaque imaging techniques, with an introduction of the segmentation techniques for plaque classification and quantification Many aspects of plaque imaging techniques are presented in this publication, such as; medical image retrieval and database management, MRI techniques to differentiate stable versus high risk atherosclerosis, composition and morphology of atherosclerotic plaque, analysis of the soft tissue based on computer vision techniques, modelling of coronary artery biomechanics, Cardiac CT for the assessment of cardiovascular pathology with an emphasis on the detection of coronary atherosclerosis, technical and practical issues regarding coronary atherosclerotic plaque imaging by CT (focussing on coronary calcium imaging), feasibility of a non-invasive, in vivo determination of the IBS of arterial wall tissue, high resolution ultrasound images of carotid plaques, the problem of reliable features extraction a! nd classification process and a discussion on advanced mathematical techniques to extract spectral information from the RF data to determine the plaque composition..
Price: $153.98 [Notify me when price goes down.]


Redundant Discrete Wavelet Transform Based Super-Resolution Using Sub- Pixel Image Registration
This is a AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF ENGINEERING AND MANAGEMENT report procured by the Pentagon and made available for public release It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A486514. The abstract provided by the Pentagon follows: The limited resolution of video imagery taken by aircraft, over geographical areas of interest, hinders the accurate extraction of useful information. The frame resolution of the video is determined by the camera that created it. Information exists about the camera which can be used to increase frame resolution beyond the resolution capability of the camera. This is achieved by a process called super-resolution, which uses multiple low- resolution video frames to create one high-resolution image..
Price: $22.95 [Notify me when price goes down.]


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