Laser Scattering Phenomenology - Background Signature Characterization And Prediction

David L. Meeker

doi:10.1117/12.968463

24 August 1988 Laser Scattering Phenomenology - Background Signature Characterization And Prediction

David L. Meeker

Proceedings Volume 0933, Multispectral Image Processing and Enhancement; (1988) https://doi.org/10.1117/12.968463
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

Abstract

An important part of WES's remote sensing program is the development of electromagnetic energy signature maps that vary as environmental conditions change in an area. Such maps are useful for assessing electromagnetic sensor technology since the effectiveness of electro-optical sensors is dependent on weather and terrain background conditions. A model has been developed to predict the laser signatures of various types of terrain backgrounds under selected weather conditions. Experiments have been conducted to calibrate the laser scattering model. This model has been integrated with terrain elevation data and land use maps to produce color displays that indicate terrain areas exhibiting high or low laser scattering. Displays provide researchers with a tool for developing the background signature terrain maps needed to evaluate tactical sensor. technology and delineate specific features of interest.

Citation Download Citation

David L. Meeker "Laser Scattering Phenomenology - Background Signature Characterization And Prediction", Proc. SPIE 0933, Multispectral Image Processing and Enhancement, (24 August 1988); https://doi.org/10.1117/12.968463

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available