Target Acquisition during a Manned Real-Time Reconnaissance Mission

Abstract

During a manned real-time reconnaissance mission, providing target information to our military intelligence in a timely, efficient manner is of prime importance. In order to assess target information, the human observer is faced with many influencing variables. The main variables involved during target acquisition consist of the target/background, aircraft, environment, sensor display unit, and the human observer himself. Additionally, for each variable are many other elements which have some influence on the target acquisition process. In acquiring a target during a reconnaissance mission, the human observer has been found to perform this task the most efficiently and economically. Although automatic target detection methods are being pursued to take the place of the human observer, there has been no feasible method of developing a system which has the combined flexibility, programability, quick response, ability to reject clutter, ability to respond to small contrast, ability to respond to high and low ambient illumination, shape and contour matching ability, resolution, ability to detect anomalies in the scenic content, the ability to detect movement and changes, and the ability to make intuitive judgments as the human observer. In addition, the small weight and volume make the human observer a very effective and economical sensor and data analyzer.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1981
Accession Number
ADA100570

Entities

People

  • Mary E. Weaver

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Air Force Facilities
  • Aircrafts
  • Detection
  • Detectors
  • Display Systems
  • Government Procurement
  • Governments
  • Identification
  • Optical Detectors
  • Photographs
  • Photography
  • Radar
  • Recognition
  • Target Acquisition
  • Target Detection
  • Target Recognition

Readers

  • Instructional Design and Training Evaluation.
  • Sensor Fusion and Tracking Systems.
  • Unmanned Aerial System (UAS) Autonomous Capabilities and Mission Reconnaissance.