Textural Classification of Clouds In Satellite Imagery Using Geometric Measures

Award Information
Agency:
Department of Defense
Branch
Defense Threat Reduction Agency
Amount:
$65,652.00
Award Year:
1995
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
28618
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Visidyne, Inc.
5951 Encina Road, Suite 208, Goleta, CA, 93117
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
John G. Devore
(805) 683-4277
Business Contact:
() -
Research Institution:
n/a
Abstract
Visidyne proposes to develop an expert, neural net based, system for classifying cloud types based on texture analysis in satellite imagery using geometric measures as network inputs. In Phase I Visidyne proposes to investigate the utility of a variety of network inputs based on the geometry and characteristic spatial scales of cloud texture in satellite imagery. These measures will be compared with the more traditional statistical ones for a sampling of different cloud types in NOAA satellite images. If a set of geometric measures with good correlation to visually typed cloud images is found, then development of a neural net based expert system for classifying cloud types will be proposed for Phase II. The primary benefit of Phase I will be the evaluation of the utility of geometric as opposed to statistical measures for use in cloud typing based on satellite image texture analysis. If Phase I is successful then candidate sets of geometric measures will have been identified for evaluation as inputs for a neural network based expert system for cloud typing in satellite imagery.

* information listed above is at the time of submission.

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