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SBIR-STTR Award
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SBIR-STTR Award
10
Automatic prime sounding selecting research
Award last edited on: 4/11/02
Sponsored Program
SBIR
Awarding Agency
DOC : NOAA
Total Award Amount
$135,148
Award Phase
2
Solicitation Topic Code
-----
Principal Investigator
Steven Zoraster
Company Information
Zycor Inc
220 Foremost Drive
Austin, TX 78745
(512) 282-6699
N/A
N/A
Location:
Single
Congr. District:
21
County:
Travis
Phase I
Contract Number:
----------
Start Date:
00/00/00
Completed:
00/00/00
Phase I year
1988
Phase I Amount
$25,900
Manual selection of prime soundings for display on a nautical chart is time consuming and expensive. The computer program available to NOAA which performs prime sounding selection uses outdated software technology. This research effort will investigate the feasibility of automating prime sounding selection with a new algorithm which uses of state-of-the-art surface modeling techniques. The surface modeling techniques to be used in the proposed sounding selection algorithm include a curve-to-grid interpolation software module and a laplacian grid smoothings oftware module. Individually these two modules perform tasks which emulate some of the processing steps performed by a chart user analyzing the shape of the ocean bottom between the depth curves and soundings displayed on the chart. Combined with additional software, these modules will replicate the prime sounding selection process performed by a trained hydrographer.
Phase II
Contract Number:
----------
Start Date:
00/00/00
Completed:
00/00/00
Phase II year
1989
Phase II Amount
$109,248
___(NOTE: Note: no official Abstract exists of this Phase II projects. Abstract is modified by idi from relevant Phase I data. The specific Phase II work statement and objectives may differ)___ Manual selection of prime soundings for display on a nautical chart is time consuming and expensive. The computer program available to NOAA which performs prime sounding selection uses outdated software technology. This research effort will investigate the feasibility of automating prime sounding selection with a new algorithm which uses of state-of-the-art surface modeling techniques. The surface modeling techniques to be used in the proposed sounding selection algorithm include a curve-to-grid interpolation software module and a laplacian grid smoothings oftware module. Individually these two modules perform tasks which emulate some of the processing steps performed by a chart user analyzing the shape of the ocean bottom between the depth curves and soundings displayed on the chart. Combined with additional software, these modules will replicate the prime sounding selection process performed by a trained hydrographer.
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