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There are many multiple-model (MM) target-tracking algorithms that are available but there has yet to be a comparison that includes all of them. This work compares seven of the currently most popular MM algorithms in terms of performance, credibility, and computational complexity. The algorithms to be considered are the autonomous multiple-model algorithm, generalized pseudo- Bayesian of first order, generalized pseudo-Bayesian of second order, interacting multiple-model algorithm, B-Best algorithm, Viterbi algorithm, and reweighted interacting multiple-model algorithm. The algorithms were compared using three scenarios consisting of maneuvers that were both in and out of the model set. Based on this comparison, there is no clear-cut best algorithm but the B-best algorithm performs best in terms of tracking errors and the IMM algorithm has the best computational complexity among the algorithms that have acceptable tracking errors.

In this thesis, a target detection technique using a rotational invariant wavelet-based scheme is presented. The technique is evaluated on Synthetic Aperture Rader (SAR) imaging and compared with a previously developed fractal-based technique, namely the extended fractal (EF) model. Both techniques attempt to exploit the textural characteristics of SAR imagery. Recently, a wavelet-based fractal feature set, similar to the proposed one, was compared with the EF feature for a general texture classification problem. The wavelet-based technique yielded a lower classification error than EF, which motivated the comparison between the two techniques presented in this paper. Experimental results show that the proposed techniques feature map provides a lower false alarm rate than the previously developed method.

Bibliography: p. 257-269. The aim of this thesis was to consolidate and comment on the image measure literatures, and to find through experiment the salient properties of electronically displayed real world complex imagery that impacts on human performance. These experiments were carried out for well specified visual tasks and the appropriate application of image measures to this imagery, to predict human performance, was considered.

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Acoustic methods have long been used to rapidly and synoptically survey marine organisms of ecological and economic importance. Direct sampling furnishes biological data such as abundance, biomass, direct measurements of organism size and species identification, but encounters problems such as net avoidance, small sampling volumes, and catch destruction of delicate specimens. Understanding the scattering mechanisms of fish is challenge due to the fact that fish anatomy is complex and the acoustic scattering characteristics are correspondingly complex. For example, (Nash,1987) qualitatively illustrated the influence of the various anatomical components of fish on scattering by performing length-wise acoustic scans of whole fish, dissected swimbladders. The swimbladder is the main control factor of fish¡¦s floating and diving. This research will carry on the measure the target with acoustic characteristic of imitative air swimbladder of Tsuchida Seisakusho. We use the imitative air swimbladder and collocate the Reversed Engineering to measure the Backscattering intensity of the swimbldder which is different medium. We set up experiment in an acoustic water tank of dimension (4mo3.5mo2m) located in National Sun Yat-sen University. The projector and receiver both are transducer of fish finder with directivity and frequency response at 200k Hz. The signal receptor used Data Acquisition System of NI 6129 with sample rate at 800kHz. The target set up of this research is referring to (Timothy K. Stanton,2004), and we use servo motor to control the incidence angle of the target. Preliminary research is pointed out, the target strength will change by the incidence geometry of the target, and the target diameter is the factor of the target strength.

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 218-236).

Thesis (M.S. in Defense Analysis)--Naval Postgraduate School, December 2009. / Thesis Advisor: Bordetsky, Alex. Second Reader: Greenshields, Brian. "December 2009." Description based on title screen as viewed on January 27, 2010. Author(s) subject terms: Teaming and collaboration of manned and unmanned aircraft. Includes bibliographical references (p. 59-61). Also available in print.

Thesis--School of Advanced Airpower Studies, Maxwell Air Force Base, Ala., 1999-2000. / Title from title screen (viewed Oct. 9, 2003). "December 2001." Includes bibliographical references.