Automatic Detection of Military Targets Utilising Neural Networks and Scale Space Analysis

Abstract

This paper reports on a new approach to detecting military targets. The novel idea is based on combining neural network arbitration and scale space analysis to automatically select one optimum scale for the entire image at which object edge detection can be applied. Thus, introducing new measures to solve many of the problems existing in the discipline of image processing, such as: (1) poor edge detection in medium-contrast images (2) speed of recognition and (3) high computational cost. This new approach to edge detection is formalized in the Automatic Edge Detection Scheme (AEDS).

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2001
Accession Number
ADP010890

Entities

People

  • A. Khashman

Organizations

  • Near East University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Change Detection
  • Computer Programs
  • Computer Vision
  • Computers
  • Detection
  • Digital Signal Processing
  • Image Processing
  • Image Recognition
  • Information Processing
  • Information Systems
  • Military Aircraft
  • Neural Networks
  • Object Recognition
  • Operating Systems
  • Recognition
  • Signal Processing
  • Three Dimensional

Readers

  • Computer Vision.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks
  • Space
  • Space - Space Objects