Anomalous change detection in imagery
Abstract
A distribution-based anomaly detection platform is described that identifies a non-flat background that is specified in terms of the distribution of the data. A resampling approach is also disclosed employing scrambled resampling of the original data with one class specified by the data and the other by the explicit distribution, and solving using binary classification.
- Inventors:
-
- Los Alamos, NM
- Santa Fe, NM
- Issue Date:
- Research Org.:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1019392
- Patent Number(s):
- 7953280
- Application Number:
- 11/871,714
- Assignee:
- Los Alamos National Security LLC (Los Alamos, NM)
- DOE Contract Number:
- AC52-06NA25396
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 47 OTHER INSTRUMENTATION
Citation Formats
Theiler, James P, and Perkins, Simon J. Anomalous change detection in imagery. United States: N. p., 2011.
Web.
Theiler, James P, & Perkins, Simon J. Anomalous change detection in imagery. United States.
Theiler, James P, and Perkins, Simon J. Tue .
"Anomalous change detection in imagery". United States. https://www.osti.gov/servlets/purl/1019392.
@article{osti_1019392,
title = {Anomalous change detection in imagery},
author = {Theiler, James P and Perkins, Simon J},
abstractNote = {A distribution-based anomaly detection platform is described that identifies a non-flat background that is specified in terms of the distribution of the data. A resampling approach is also disclosed employing scrambled resampling of the original data with one class specified by the data and the other by the explicit distribution, and solving using binary classification.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {5}
}
Save to My Library
You must Sign In or Create an Account in order to save documents to your library.
Works referenced in this record:
Resampling approach for anomalous change detection
conference, April 2007
- Theiler, James; Perkins, Simon
- Defense and Security Symposium, SPIE Proceedings
Change Detection in Overhead Imagery Using Neural Networks
journal, March 2003
- Clifton, Chris
- Applied Intelligence, Vol. 18, Issue 2, p. 215-234