RegionOfInterestSurvivalRateModel

Region of interest (ROI) survival model

Since R2025a

Description

A RegionOfInterestSurvivalRateModel object contains a survival model that assigns distinct survival rates for target estimates inside and outside the region of interest (ROI). Target estimates outside the ROI are deleted more quickly. You can use this model to define the survival model for a CustomTarget object.

Creation

To create a RegionOfInterestSurvivalRateModel object, use the targetSurvivalModel function with the "region-of-interest-survival-rate" input argument. For example:

survivalModel = targetSurvivalModel("region-of-interest-survival-rate")

Properties

PositionLimits — Positional limits of region of interest

[-1e3 1e3;-1e3 1e3;-1e3 1e3] (default) | N-by-2 real matrix

Positional limits of the region of interest, specified as an N-by-2 real matrix. N is the dimension of the motion model. Each row takes the form [min max], representing the position boundary values for the corresponding dimension. Units are in meters.

Data Types: single | double

VelocityLimits — Velocity limits of region of interest

[-200 200;-200 200;-200 200] (default) | N-by-2 real matrix

Velocity limits of the region of interest, specified as an N-by-2 real matrix. N is the dimension of the motion model. Each row takes the form [min max], representing the velocity boundary values for the corresponding dimension. Units are in meters per second.

Data Types: single | double

SurvivalRate — Survival probability per unit time inside and outside region of interest

1 - [1e-6 0.95] (default) | two-element vector in the range (0,1)

Survival probability per unit time inside and outside the region of interest, specified as a two-element vector in the range (0,1). The first element defines the survival rate inside the defined region of interest. The second element defines the survival rate outside the defined region of interest. For an arbitrary interval dT, the survival probabilities are calculated as SurvivalRate^dT.

Data Types: single | double

Version History

Introduced in R2025a