Gated imaging LIDAR systems for remote sensing, identification, and classification of aerosol particulates

Frank T. P. Cianciotto

doi:10.1117/12.211955

15 June 1995 Gated imaging LIDAR systems for remote sensing, identification, and classification of aerosol particulates

Frank T. P. Cianciotto

Proceedings Volume 2471, Atmospheric Propagation and Remote Sensing IV; (1995) https://doi.org/10.1117/12.211955
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The problem of imaging airborne particulate is overcome by the use of a Gated Back- Scattering Imaging Lidar system. Standard video systems are not capable of identifying most particulate or biological elements. By using ultra short pulsed laser signals exclusively tuned for specific atmospheric and aerosol conditions, Lidar systems are capable of identification of specific airborne particulate. A gated Lidar system can be adjusted to return a signal from a specific layer located within a column of the atmosphere. The operator can vary the width of the investigated layer and the relative location of this layer within the atmosphere. Multiple receiver systems are capable of imaging numerous layers simultaneously. One of the major advantages of gated Lidar is that back scatter from layers before and after the region to be searched is reduced to zero. This discrimination in layer searching will increase the signal to noise ratio of the system, substantially increasing the likelihood of target recognition. These systems are used for the detection of biological constituents, atmospheric pollutants and wind shear detection.

Citation Download Citation

Frank T. P. Cianciotto "Gated imaging LIDAR systems for remote sensing, identification, and classification of aerosol particulates", Proc. SPIE 2471, Atmospheric Propagation and Remote Sensing IV, (15 June 1995); https://doi.org/10.1117/12.211955

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