SBIR/STTR Research Award

Visual Data Mining Toolbox

Award identifier c104420c394553f3549c58aef7985ea145b5f0af701b900187291c298028b5a9Awarding agency National Aeronautics and Space Administration

Award amount

$99,840

Program and phase

SBIR · Phase I

Award year

2008

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
CAI, YANG
Proposal award date
2008-01-18
Contract end date
2008-07-21
UEI
Not reported
Solicitation number
Not reported
Topic code
S6.04

Research abstract

Visual Data Mining (VDM) is an Internet-based software that supports spatial and temporal analyses of multimodal NASA science data including satellite images and in-situ sensory data. It combines computer vision, multi-physics simulation and interactive visualization. VDM tools can be integrated to NASA-related systems for detecting, tracking, modeling and predicting the movement of surface objects. The proposed system will use NASA products such as MODIS as a satellite imagery data source. The system will also incorporate the in-situ data from NOAA and JPL. The development tasks include designing object detection and tracking algorithms in Java for online distributed applications, designing compact cellular automata based simulation and prediction tools, designing data fusion and 3D navigation interface that links to Google Earth. It is expected that the VDM tools can increase the utility of scientific research data, models, simulations, and visualization in practical applications, for example, real-time detection and tracking of river plume discharged to the open water, or harmful algal blooms along the coastline. It will increase the speed of image analysis process in one order of magnitude.

Technology keywords

Not reported

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Agency intelligence

National Aeronautics and Space Administration

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