Automatic Battle Damage Assessment in Remotely Sensed Imagery

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,999.00
Award Year:
1997
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Award Id:
35971
Agency Tracking Number:
35971
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
500 West Cummings Park Suite, 300, Woburn, MA, 01801
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr. Raman K. Mehra/ Dr. S
(617) 933-5355
Business Contact:
() -
Research Institute:
n/a
Abstract
In the modern warfare, especially in the post cold war era, great effort has been devoted to precision strike to maximize damage on strategic targets while minimizing civilian casualties. Since the strike is limited to a small scale, accurate and rapid assessment of a strike's success is crucial in planning future attacks. The problem is complicated by numerous factors which influence the process such as image shift and variations due to small mobile objects and scattered debris. In this proposal, we describe a novel algorithm based on feature-level image registration and comparison for automatic damage assessment. This algorithm incorporates several state-of-the-art image processing techniques including Bayesian Pattern Theory, Flexible Template Matching (FTM) and Fractal Dimension Analysis. Specific Phase I effort will include (1) literature search, (2) acquisition of data for Automatic Battle Damage Assessment, (3) development of image segmentation and feature extraction software, (4) development of a damage assessment algorithm using Bayesian Pattern theory approach and FTM, (5) testing and evaluation of the algorithm, and (6) reports and Phase II recommendations. Phase II will include development of software demonstration systems and testing on sample imagery. Prof. Grenander and Dr. Srivastava, both of Brown University, will provide support in the area of feature extraction and pattern theory.

* information listed above is at the time of submission.

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