NASA SBIR 2011 Solicitation


PROPOSAL NUMBER: 11-1 S6.03-9760
SUBTOPIC TITLE: Algorithms and Tools for Science Data Processing, Discovery and Analysis, in State-of-the-Art Data Environments
PROPOSAL TITLE: High Performance and Accurate Change Detection System for HyspIRI Missions

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Signal Processing, Inc.
13619 Valley Oak Circle
Rockville, MD 20850 - 3563
(240) 505-2641

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Chiman Kwan
13619 Valley Oak Circle
Rockville, MD 20850 - 3563
(240) 505-2641

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 2
End: 4

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
We propose novel and high performance change detection algorithms to process HyspIRI data, which have been used for monitoring changes in vegetation, climate, coastal and ocean ecosystems, urban areas, etc. First, we propose a novel hybrid in-scene atmospheric correction (H-ISAC) algorithm, which can compensate for distortion of hyperspectral image characteristics due to atmosphere. Conventional ISAC is applicable only to imagers with wavelengths larger than 1 micro-meter and hence it is not applicable to HyspIRI imager which has a wavelength range of 0.38 to 2.5 micro-meters. Our algorithm is simple to implement and does not require any dark pixels in the images. Second, after images are atmospherically compensated for, we propose a novel change detection algorithm known as MRCD (multiple reference change detection) using multiple images collected in the past. Our algorithm can handle misregistration and parallax issues and hence the change detection results will be more accurate. Third, we propose high performance algorithms to determine the content of the changes. For example, what materials are in the changes and where these materials are distributed. We will also determine if there are any new and unseen materials in the changes. To determine known materials with known signatures in the changes, we propose a fast matched signature identification algorithm called Adaptive Subspace Detector (ASD). We compared ASD with several other tools and found that ASD outperformed other methods. To determine any anomalies, we propose a high performance anomaly detection tool called clustered kernel Reed-Xiaoli (CKRX) algorithm. This tool was recently developed by us, is fast, and can achieve very high anomaly detection rate in hyperspectral images from the Air Force. Fourth, the above tools can be implemented in a parallel processing architecture, in which the computations are distributed to multiple processing cores.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
We expect to produce a real-time system for the NASA's program related to vegetation monitoring, coastal changes, forest changes, weather pattern changes, etc.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The proposed technology will be very useful for both military and commercial applications. Here we briefly highlight some potential markets where the proposed algorithms will be applicable. Many military (DoD) applications, including reconnaissance and surveillance, homeland security, perimeter defense, etc. will benefit from this technology. In addition, Lockheed Martin, Raytheon, GE, MITRE, are also potential customers for this technology. The market for military applications is quite large. We expect the market size will be at 20 million dollars over the next decade.
Other potential commercial applications include border and coast patrol, vision guided robotics, and unmanned ground vehicles. The size of this market is not small and hard to estimate. We expect the aggregate market size will be similar to that of military applications (20 million over the next decade).

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Data Fusion
Data Processing
Image Analysis
Image Processing

Form Generated on 11-22-11 13:43