| Synthetic Aperture Sonar Low Frequency vs. High Frequency Automatic Contact Generation |
Jun 2010 |
4 pages |
| Authors:
J R Dubberley; M L Gendron; NAVAL RESEARCH LAB STENNIS SPACE CENTER MS
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 | Synthetic Aperture Sonar (SAS) bottom mapping sensors are on the verge of entering operational use. Here we examine the utility of both the low and high frequency output of SAS systems recorded from trials to determine their utility in the automatic contact generation scheme described in the companion paper Automated Change Detection using Synthetic Aperture Sonar Imagery [1]. The survey area covered by the trial has contacts called separately by ... |
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| Measurement and Analysis of Clutter in Electronic Displays |
Jan 2008 |
4 pages |
| Authors:
M C Lohrenz; M R Beck; J G Trafton; M L Gendron; NAVAL RESEARCH LAB WASHINGTON DC
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| Electronic geospatial displays are common-from aircraft moving-maps to handheld GPS devices. As new data sources become available, users are tempted to display everything of interest: digital charts, satellite imagery, weather data, etc. The ensuing clutter can impact a user's ability to access, interpret, and effectively use the displayed information. This paper presents a model of display clutter comprised of global and local components, which we compared with subjective clutter ratings ... |
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| A Roughness Estimation Algorithm for Sidescan |
Jan-2007 |
3 pages |
| Authors:
M L Gendron; M C Lohrenz; G Layne; J Sample; NAVAL RESEARCH LAB STENNIS SPACE CENTER MS MARINE GEOSCIENCES DIV
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| The Naval Oceanographic Office (NAVOCEANO) requires accurate estimates of seafloor roughness (bottom relief) and the density of seafloor clutter (mine-like echoes), typically derived from sidescan sonar imagery (SSI), to determine the bottom type of a geographic area for mine warfare. Determining clutter and roughness manually can be time-consuming and produce inconsistent results. Automated algorithms can derive clutter and roughness from SSI in a consistent and timely manner. Features such as ... |
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| Automic Change Detection and Classification (ACDC) System |
Jan-2005 |
4 pages |
| Authors:
M L Gendron; M C Lohrenz; G J Layne; NAVAL RESEARCH LAB STENNIS SPACE CENTER MS MARINE GEOSCIENCES DIV
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| The authors are developing an Automated Change Detection and Classification (ACDC) system for the Mine Warfare (MIW) group at the Naval Oceanographic Office (NAVOCEANO). ACDC detects features in sidescan imagery, classifies the features (e.g., as minelike or not), and searches through historical databases of previously detected features to perform change detection (i.e., to determine whether the feature is new or pre-existing, relative to earlier surveys). The completed ACDC system will ... |
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