An Assisted Change Detection System

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: N/A
Agency Tracking Number: NASA1542
Amount: $70,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2001
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
4600 Scott Allen Drive, Missoula, MT, 59803
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Stuart Blundell
 Vice President
 (406) 443-0766
 sblundell@intgeo.com
Business Contact
 David Opitz
Title: President
Phone: (402) 251-2690
Email: 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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