Computer-Aided Recognition of Man-Made Structures in Aerial Photographs

Abstract

Aerial image acquisition systems are producing more data than can be analyzed by human experts. Most of the images produced by remote sensing satellites, including military ones, never get seen or inspected. In this work, automated detection and recognition of buildings in aerial photos is explored. Connectivity analysis is performed on graphs derived from line segment representations of the original images, obtained with the use of the Radon Transform. The model is experimentally validated using 2-meter panchromatic aerial photographs from the National Aerial Photography Program (NAPP), which provide a marginally adequate resolution for the recognition of small buildings.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1999
Accession Number
ADA376824

Entities

People

  • Luiz A. Cardoso

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Aerial Photographs
  • Aerial Photography
  • Artificial Intelligence
  • Artificial Satellites
  • Birds
  • Cameras
  • Change Detection
  • Computer Programs
  • Computer Vision
  • Detection
  • Detectors
  • Image Processing
  • Pattern Recognition
  • Photographs
  • Photography
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Geodesy
  • Image Processing and Computer Vision.
  • Neural Network Machine Learning.

Technology Areas

  • Space
  • Space - Space Objects