Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Donald E. Waagen"'
Publikováno v:
SPIE Proceedings.
Manifold extraction techniques, such as ISOMAP, are capable of projecting nonlinear, high-dimensional data to a lower-dimensional subspace while retaining discriminatory information. In this investigation, ISOMAP is applied to 3D LADAR range imagery.
Publikováno v:
SPIE Proceedings.
Three-dimensional (3D) Laser Detection and Ranging (LADAR) range data is being investigated for automatic target recognition applications. The spin-image provides a useful data representation for 3D point cloud data. In the spirit of recent work that
Publikováno v:
Automatic Target Recognition XVI.
Extraction and efficient representation of informative structure from data is the goal of pattern recognition. Efficient and effective parametric and nonparametric representations for capturing the geometry of three-dimensional objects are an area of
Publikováno v:
SPIE Proceedings.
This investigation discusses the challenge of target classification in terms of intrinsic dimensionality estimation and selection of appropriate feature manifolds with object-specific classifier optimization. The feature selection process will be dev
Autor:
Estille Whittenberger, Alexis Rivera-Rios, Alex Takessian, Donald E. Waagen, John Costello, Donald Hulsey, Miguel Ordaz
Publikováno v:
SPIE Proceedings.
Spin images originated within the robotics group at Carnegie Mellon University and are representations of 3-space surface regions. This representation provides a means for surface matching that is invariant to rigid body rotations and translations wh
Publikováno v:
Algorithms for Synthetic Aperture Radar Imagery XII.
The 'curse of dimensionality' has limited the application of statistical modeling techniques to low-dimensional spaces, but typical data usually resides in high-dimensional spaces (at least initially, for instance images represented as arrays of pixe
Publikováno v:
Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004..
Advances in sensor technologies, computation devices and algorithms have created enormous opportunities for intelligent, automated threat identification, target acquisition, and surveillance. Unfortunately, as information requirements grow, conventio
Publikováno v:
SPIE Proceedings.
Selection of the kernel parameters is critical to the performance of Support Vector Machines (SVMs), directly impacting the generalization and classification efficacy of the SVM. An automated procedure for parameter selection is clearly desirable giv
Publikováno v:
SPIE Proceedings.
Infrared imagers used to acquire data for automatic target recognition are inherently limited by the physicalproperties of their components. Fortunately, image super-resolution techniques can be applied to overcomethe limits of these imaging systems.
Publikováno v:
Acquisition, Tracking, and Pointing XVIII.
Bearings-only tracking is widely used in the defense arena. Its value can be exploited in systems using optical sensors and sonar, among others. Non-linearity and non-Gaussian prior statistics are among the complications of bearings-only tracking. Se