Accession Number:

ADP000116

Title:

Matching Linear Features of Images and Maps,

Descriptive Note:

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES DEPT OF COMPUTER SCIENCE

Personal Author(s):

Report Date:

1982-01-01

Pagination or Media Count:

9.0

Abstract:

We present two methods to solve the problem of matching linear features extracted from an aerial image with a set of linear features derived from a map or another view of the same scene. The first method, using discrete relaxation, is very efficient but requires the model to have a small number of elements. The other one, called the kernel method, demonstrates how drastically we can improve the running time if we know a few pairs of matched elements. Illustrative examples are provided, and extensions are discussed. Author

Subject Categories:

Distribution Statement:

APPROVED FOR PUBLIC RELEASE