Paper
20 August 1979 Earth Feature Identification And Tracking Technology Development
R. Gale Wilson, W. Eugene Sivertson Jr.
Author Affiliations +
Proceedings Volume 0178, Smart Sensors; (1979) https://doi.org/10.1117/12.957280
Event: Technical Symposium East, 1979, Washington, D.C., United States
Abstract
Needs for smart sensing in terrestrial and atmospheric remote sensing are discussed and related to current technology research and a scheduled Shuttle experiment. Space Shuttle offers unique opportunities to evaluate new concepts in sensor development and methods for superimposing data from different types of sensors taken either simultaneously or at different times. A time-phased technology approach is outlined involving a series of Shuttle-borne experiments to develop Earth feature identification and tracking technology. The first phase includes a Feature Identification and Location Experiment (FILE), undergoing fabrication and scheduled for flight on the NASA Shuttle (STS2/flight OSTA-1) in 1980. The experiment objective is to evaluate a technique for autonomously classifying Earth features into four categories: bare land; water; vegetation; and clouds, snow, or ice. The experiment package, experiment concepts, and plans for evolution of the FILE-related technology to provide discrimination among clouds, snow, and ice are described. The technology development plan, beyond feature identification/classification and cloud detection/discrimination, leads to capabilities for pointing instruments to predetermined sites, reacquiring Earth features or landmarks, and tracking features such as coastlines or rivers. Technology concepts are discussed relative to an overall system transfer function, and the technology development status is outlined.
© (1979) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
R. Gale Wilson and W. Eugene Sivertson Jr. "Earth Feature Identification And Tracking Technology Development", Proc. SPIE 0178, Smart Sensors, (20 August 1979); https://doi.org/10.1117/12.957280
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Clouds

Sensors

Optical tracking

Cameras

Smart sensors

Vegetation

Signal processing

Back to Top