An Assisted Change Detection System

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$70,000.00
Award Year:
2001
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
NASA1542
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Visual Learning Systems, Inc.
4600 Scott Allen Drive, Missoula, MT, 59803
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Stuart Blundell
Vice President
(406) 443-0766
sblundell@intgeo.com
Business Contact:
David Opitz
President
(402) 251-2690
opitz@mssl.uswest.net
Research Institution:
n/a
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.

* information listed above is at the time of submission.

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