Accession Number:

ADA364229

Title:

Research in Knowledge-Based Automatic Feature Extraction

Descriptive Note:

TECHNICAL REPT. 23 Mar 97-31 Mar 98

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES INST FOR ROBOTICS AND INTELLIGENT SYSTEMS

Personal Author(s):

Report Date:

1999-05-01

Pagination or Media Count:

56.0

Abstract:

This report provides a description of USCs activities as part of the DARPA Automated Population of Geospatial Databases APGD project. Focus of this effort is on detection, delineation, and description of 3-D buildings from aerial images. Buildings are objects of obvious importance in urban environments and accurate models of them are needed for a number of tasks such as mission planning, mission rehearsal, tactical training, damage assessment, and change detection. Difficulties in modeling buildings come from problems of segmentation, 3-D inference, and shape description. Development of a multi-image based system is described. This system operates on a hypothesize and verify paradigm. Hypotheses for rectilinear rooftops are generated by hierarchical grouping of lower level features. Three dimensional cues from walls and shadows are used to verify and select from these hypotheses. Three-dimensional cues from range sensors, such as IFSAR, can be used when available. Results on selected windows of Fort Hood, TX, and Fort Benning, GA, sites are presented. An efficient interactive system can be used to edit the results of the automatic system to reduce the effort required from the user. The current system is limited to rectilinear shaped buildings and assumes that ground height, camera models, and illumination parameters are known.

Subject Categories:

  • Cartography and Aerial Photography
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE