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An Assisted Change Detection System

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
51755
Program Year/Program:
2001 / SBIR
Agency Tracking Number:
NASA1542
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Visual Learning Systems, Inc.
1719 Dearborn Avenue Missoula, MT 59801-2391
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2001
Title: An Assisted Change Detection System
Agency: NASA
Contract: N/A
Award Amount: $70,000.00
 

Abstract:

NASA has a critical need for intelligent change detection algorithms andgeoprocessing techniques for digital imagery archives of earth sciencedata obtained from satellites and aerial platforms. Currently, the changedetection process is slow, labor-intensive, and costly. Change detectionmethods that rely on pixel differencing detect all changes between imageryand are thus not well suited for detecting target-specific changes, suchas riparian zones within a selected watershed. Thus, targets must firstbe extracted from both sets of imagery before target changes can bedetected. Visual Learning Systems (VLS) proposes to design and demonstratethe feasibility of an intelligent target-specific change-detection modulebased on VLS's novel, proprietary machine-learning methods. VLS's approach is expected to provide a mechanism for detecting object-specificchanges that is 50-200 times faster than existing techniques whilemaintaining the same level of accuracy.

Principal Investigator:

Stuart Blundell
Vice President
4064430766
sblundell@intgeo.com

Business Contact:

David W. Opitz
President
4022512690
opitz@mssl.uswest.net
Small Business Information at Submission:

Visual Learning Systems, Inc.
4600 Scott Allen Drive Missoula, MT 59803

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