Automated Digital Elevation Extraction from Multispectral Imaging Systems

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NAS13-02012
Agency Tracking Number: 012235
Amount: $69,910.00
Phase: Phase I
Program: SBIR
Awards Year: 2002
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
1010 Gloria Ave., Durham, NC, 27701
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Matt Heric
 Principal Investigator
 (919) 688-8212
Business Contact
 Matt Heric
Title: Business Official
Phone: (919) 688-8212
Research Institution
NASA is seeking improved capabilities to help make Earth measurement easier to use and more reliable for practitioners. Accordingly, we propose to research advanced methods for generating automatically precise elevation data from modern high spatial resolution digital stereoscopic panchromatic/multispectral sensors using improved digital auto-correlation techniques. Applications for this solution include medium-to-large-scale mapping (e.g., community development and resource/environmental management), planning (e.g., event modeling, urban, and mission), and assessment (e.g., post-disaster reporting). Highly accurate digital elevation matrices are required to generate reference data having:- Results needing little interactive editing;- Reliable and valid elevation information;- Postings ranging from 3m-to-cm; and- Abilities to maximize the utilities provided by modern sensors.Automatic digital auto-correlation for elevation data is critical for a variety of users. Current solutions, however, have been limited due to a general lack of algorithms addressing the terrain complexities brought forth in high-spatial resolution data. (They are also typically difficult to use.) This includes generation of reference data for elevation profiles supporting vertical update point technologies and related terrain and feature models. Furthermore, the commercial and defense mapping marketplaces, computer vision industries, and the global medical imaging communities seek similar modeling solutions, which bodes well for eventual commercialization.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government