Intervisibility: to be seen or not to be seen

Xin Zhang; Yaakov Bar-Shalom; Peter K. Willett; Ilana Segall

doi:10.1117/12.504825

5 January 2004 Intervisibility: to be seen or not to be seen

Xin Zhang, Yaakov Bar-Shalom, Peter K. Willett, Ilana Segall

Proceedings Volume 5204, Signal and Data Processing of Small Targets 2003; (2004) https://doi.org/10.1117/12.504825
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

Here we discuss intervisibility - the existence of an unobstructed line of sight (LOS) between two points - accounting for the vertical and horizontal errors in the estimated locations of both points as well as elevation errors in the database of terrain that could obstruct the LOS between these points. The errors are first simply treated as a "white" noise sequence: we assume no correlation between the intervisibility at two different times, and only the probability of the intervisibility event is in this case developed. This is useful; but perhaps of greater concern is whether or not a target remains visible long enough and/or often enough that something can be done about it. Consequently we present a second treatment in which the errors are stochastic processes of given and width, and both the probability density function of the intervisible time and the average number of intervisible intervals over a certain time period interval are developed.

Citation Download Citation

Xin Zhang, Yaakov Bar-Shalom, Peter K. Willett, and Ilana Segall "Intervisibility: to be seen or not to be seen", Proc. SPIE 5204, Signal and Data Processing of Small Targets 2003, (5 January 2004); https://doi.org/10.1117/12.504825

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