NASA Scientific and Technical Aerospace Reports

20040071080 NASA Stennis Space Center, Bay Saint Louis, MS, USA
Software for Partly Automated Recognition of Targets
Opitz, David; Blundell, Stuart; Bain, William; Morris, Matthew; Carlson, Ian; Mangrich, Mark; Selinsky, T.; Aug. 7, 2002;
2 pp.; In English
Report No.(s): NASA/NP-2003-01-00045; SSC-00166; No Copyright; Avail: CASI; A01, Hardcopy
The Feature Analyst is a computer program for assisted (partially automated) recognition of targets in images. This
program was developed to accelerate the processing of high-resolution satellite image data for incorporation into geographic
information systems (GIS). This program creates an advanced user interface that embeds proprietary machine-learning
algorithms in commercial image-processing and GIS software. A human analyst provides samples of target features from
multiple sets of data, then the software develops a data-fusion model that automatically extracts the remaining features from
selected sets of data. The program thus leverages the natural ability of humans to recognize objects in complex scenes, without
requiring the user to explain the human visual recognition process by means of lengthy software. Two major subprograms are
the reactive agent and the thinking agent. The reactive agent strives to quickly learn the user’s tendencies while the user is
selecting targets and to increase the user’s productivity by immediately suggesting the next set of pixels that the user may wish
to select. The thinking agent utilizes all available resources, taking as much time as needed, to produce the most accurate
autonomous feature-extraction model possible.
Author
Computer Programs; Target Recognition; Pattern Recognition
20040071096 NASA Stennis Space Center, Bay Saint Louis, MS, USA, Spectral Sciences, Inc., Burlington, MA, USA
Software for Simulation of Hyperspectral Images
Richtsmeier, Steven C.; Singer-Berk, Alexander; Bernstein, Lawrence S.; [2003]; 1 pp.; In English
Report No.(s): NASA/NP-2003-09-00039-SSC; SSC-00183; No Copyright; Avail: Other Sources; Abstract Only
A package of software generates simulated hyperspectral images for use in validating algorithms that generate estimates
of Earth-surface spectral reflectance from hyperspectral images acquired by airborne and spaceborne instruments. This
software is based on a direct simulation Monte Carlo approach for modeling three-dimensional atmospheric radiative transport
as well as surfaces characterized by spatially inhomogeneous bidirectional reflectance distribution functions. In this approach,
"ground truth" is accurately known through input specification of surface and atmospheric properties, and it is
practical to consider wide variations of these properties. The software can treat both land and ocean surfaces and the effects
of finite clouds with surface shadowing. The spectral/spatial data cubes computed by use of this software can serve both as
a substitute for and a supplement to field validation data.
Author
Computerized Simulation; Spectral Reflectance; Surface Properties; Meteorological Parameters; Emission Spectra
20040071110 Pennsylvania State Univ., University Park, PA, USA
Optimal Discrete Event Supervisory Control of Aircraft Gas Turbine Engines
Litt, Jonathan, Technical Monitor; Ray, Asok; [2004]; 7 pp.; In English
Contract(s)/Grant(s): DAAD19-01-10646; NAG3-2448; NNC04GA49G; No Copyright; Avail: CASI; A02, Hardcopy
This report presents an application of the recently developed theory of optimal Discrete Event Supervisory (DES) control
that is based on a signed real measure of regular languages. The DES control techniques are validated on an aircraft gas turbine
engine simulation test bed. The test bed is implemented on a networked computer system in which two computers operate in
the client-server mode. Several DES controllers have been tested for engine performance and reliability.
Author
Optimal Control; Gas Turbine Engines; Control Systems Design; Computer Programs
20040073483 NASA Glenn Research Center, Cleveland, OH, USA
Development of a Solid-Oxide Fuel Cell/Gas Turbine Hybrid System Model for Aerospace Applications
Freeh, Joshua E.; Pratt, Joseph W.; Brouwer, Jacob; May 2004; 16 pp.; In English; Turbo Expo 2004, 14-17 Jun. 2004,
Vienna, Austria
Report No.(s): NASA/TM-2004-213054; GT2004-53616; E-14490; No Copyright; Avail: CASI; A03, Hardcopy
Recent interest in fuel cell-gas turbine hybrid applications for the aerospace industry has led to the need for accurate
computer simulation models to aid in system design and performance evaluation. To meet this requirement, solid oxide fuel
cell (SOFC) and fuel processor models have been developed and incorporated into the Numerical Propulsion Systems
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