Accession Number:

AD0760755

Title:

The Detection and Identification of Man-Made Objects from Aerial Reconnaissance Photographs.

Descriptive Note:

Master's thesis,

Corporate Author:

AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OHIO SCHOOL OF ENGINEERING

Personal Author(s):

• Ashbaugh,John B.

Report Date:

1973-03-01

Pagination or Media Count:

104.0

Abstract:

An algorithm is proposed which detects and identifies man-made objects from actual aerial reconnaissance photographs. The objects are detected by cross-correlating the contour map of the digitized photograph against a generalized model for all man-made objects. This model, consisting of only three prototypes, detects objects regardless of their size, shape, and orientation. The boundary of each man-made object is then traced and represented as a parametric set of complex points. This representation is then cross-correlated with prototypes representing different general shapes in order to gain information about the size and shape of the object. This information is then combined with a logical decision process, based on some generalized rules, to classify the objects. The results of this investigation are based on a test set of six actual photographs. The procedure exhibited a detection accuracy of 71 and an identification accuracy of 87. Author

Descriptors:

• (*PHOTOINTERPRETATION
• DATA PROCESSING)
• (*AERIAL PHOTOGRAPHS
• *PATTERN RECOGNITION)
• AERIAL RECONNAISSANCE
• TARGET RECOGNITION
• ALGORITHMS
• FOURIER ANALYSIS
• THESES

Subject Categories:

• Cartography and Aerial Photography

Distribution Statement:

APPROVED FOR PUBLIC RELEASE