Automated Digital Elevation Extraction from Multispectral Imaging Systems

Award Information
Agency:
National Aeronautics and Space Administration
Branch
n/a
Amount:
$69,910.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
NAS13-02012
Award Id:
56311
Agency Tracking Number:
012235
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
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Matt Heric
Principal Investigator
(919) 688-8212
mheric@mindspring.com
Business Contact:
Matt Heric
Business Official
(919) 688-8212
mheric@mindspring.com
Research Institution:
n/a
Abstract
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.

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