Thermal wake/vessel detection technique
Abstract
A computer-automated method for detecting a vessel in water based on an image of a portion of Earth includes generating a thermal anomaly mask. The thermal anomaly mask flags each pixel of the image initially deemed to be a wake pixel based on a comparison of a thermal value of each pixel against other thermal values of other pixels localized about each pixel. Contiguous pixels flagged by the thermal anomaly mask are grouped into pixel clusters. A shape of each of the pixel clusters is analyzed to determine whether each of the pixel clusters represents a possible vessel detection event. The possible vessel detection events are represented visually within the image.
- Inventors:
-
- Albuquerque, NM
- Issue Date:
- Research Org.:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1035038
- Patent Number(s):
- 8094886
- Application Number:
- 12/574,741
- Assignee:
- Sandia Corporation (Albuquerque, NM)
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Roskovensky, John K, Nandy, Prabal, and Post, Brian N. Thermal wake/vessel detection technique. United States: N. p., 2012.
Web.
Roskovensky, John K, Nandy, Prabal, & Post, Brian N. Thermal wake/vessel detection technique. United States.
Roskovensky, John K, Nandy, Prabal, and Post, Brian N. Tue .
"Thermal wake/vessel detection technique". United States. https://www.osti.gov/servlets/purl/1035038.
@article{osti_1035038,
title = {Thermal wake/vessel detection technique},
author = {Roskovensky, John K and Nandy, Prabal and Post, Brian N},
abstractNote = {A computer-automated method for detecting a vessel in water based on an image of a portion of Earth includes generating a thermal anomaly mask. The thermal anomaly mask flags each pixel of the image initially deemed to be a wake pixel based on a comparison of a thermal value of each pixel against other thermal values of other pixels localized about each pixel. Contiguous pixels flagged by the thermal anomaly mask are grouped into pixel clusters. A shape of each of the pixel clusters is analyzed to determine whether each of the pixel clusters represents a possible vessel detection event. The possible vessel detection events are represented visually within the image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jan 10 00:00:00 EST 2012},
month = {Tue Jan 10 00:00:00 EST 2012}
}
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