Building Verification by Learning from examples

Andres Huertas
Institute of Robotics and Intelligent Systems
University of Southern California
Los Angeles, CA 90089-0273.


The Roof Profile

Sites may include buildings that have similar radiometric similatities. After sound geometric analysis detects and describes objects of interest, weak hypotheses (due to occlusion, for example) are studied to evaluate cues from radiometric sources to help verify them.

Hypothesize and verify paradigms can construct large numbers of hypotheses. Typically, a selection mechanism collects the most promissing ones, giving a set of instances of the shape of interest. Object specific knowledge is applied to decide which hypotheses can ve verified as instances of the objects of interest. This knowledge includes color, material composition, 2-1/2 data and decorrelation in interferometry analysis.


The matching procedures currently under testing are based on similarity tests for first order statistics.


This step consists of reconciling the cues obtained from various sources to help verify weak hypotheses.

Example Results

Experiments from Fort Hood and Purdue Campus.

Maintained by Andres Huertas,