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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 		Award ID:
28618 		Program Year/Program:
1995 / SBIR
Agency Tracking Number:
28618 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
Visidyne, Inc.
5951 Encina Rd, Suite 208 Goleta, CA 93117
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1995
Title: Textural Classification of Clouds In Satellite Imagery Using Geometric Measures
Agency / Branch: DOD / DTRA
Contract: N/A
Award Amount: $65,652.00
 

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.

Principal Investigator:

John G. Devore
8056834277

Business Contact:

Small Business Information at Submission:

Visidyne, Inc.
5951 Encina Road, Suite 208 Goleta, CA 93117

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No