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Textural Classification of Clouds In Satellite Imagery Using Geometric Measures

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: N/A
Agency Tracking Number: 28618
Amount: $65,652.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1995
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
5951 Encina Road, Suite 208
Goleta, CA 93117
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 John G. Devore
 (805) 683-4277
Business Contact
Phone: () -
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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