Target Segmentation and Image Enhancement through Multisensor Data Fusion.

Abstract

This thesis effort develops a data fusion process for laser radar and forward looking infrared sensors. The process contains an algorithm which segments man-made objects away from a variety of backgrounds. Importantly, the segmentation algorithm does not use pre-stored templates. Other algorithms within the process also enhance and extract target features from both laser radar and infrared images. The overall process provides target details which were not easily found in either one of the sensors by themselves. Furthermore, key algorithms within the overall process have possible optical implementations. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1986
Accession Number
ADA178875

Entities

People

  • Carl W. Tong

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Computer Vision
  • Data Fusion
  • Detectors
  • Images
  • Infrared Detectors
  • Infrared Images
  • Laser Radar
  • Lasers
  • Multisensors
  • Optical Equipment
  • Template Patterns

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Sensor Fusion and Tracking Systems.

Technology Areas

  • Directed Energy