Mr. Jordan Garcia Profile

Jordan Garcia

at Infoscitex Corp

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 14 May 2019 Presentation + Paper

Modeling the performance of modern sensor systems

Timothy Ross, Jeffrey Duffy, Richard Thomas, Wesley Jones, Jordan Garcia, Hyatt Baker, Andrew Rice

Proceedings Volume 10988, 109880Z (2019) https://doi.org/10.1117/12.2518887

KEYWORDS: Sensors, Automatic target recognition, Systems modeling, Performance modeling, Machine learning, Target detection, Sensor performance, Image sensors

Read Abstract +

Sensor system performance models (i.e., ATR performance models (APMs)) are needed online for decision making, multi-source fusion, sensor planning and parameter setting and offline to understand performance in operational settings for ATR development, down selects, and transition decisions and mission level simulations generally. Modern sensor systems involve resolved targets and non-human / ATR exploitation. This brings special modeling challenges, e.g., ATRs' additional sensitivities and data set mismatches. APM development is a multi-disciplinary problem. Perspectives from these disciplines will introduce both APM challenges and challenge surmounting approaches via the COMPASE Model Framework (CMF). From the confusion matrix perspective, the challenge of operating condition (OC) space resolution, which is needed for APM sensitivity and for broad model applicability, is introduced along with CMF's OC tree approach. From the sensor modeling perspective, the sensor system modeling has the challenge of taking full advantage of the rich first principles understanding of sensor effects while including effects beyond sensor image metrics. This challenge is approached in CMF through pixels-on-target adjustments based on uniqueness, clarity and conformity. From the machine learning perspective, there is the challenge of taking advantage of empirical evidence for ATR performance, even though it is non-representative in terms of OC distribution. This is being approached in CMF through stratification of OC space and explicit accounting of OC distributions. The CMF approach is realized in an APM development and assessment framework and has resulted in a suite of APMs that are being used in online and offline applications.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

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

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years