Analytical model of hyperspectral system performance

John P. Kerekes; Jerrold E. Baum; Kristine E. Farrar

doi:10.1117/12.352969

12 July 1999 Analytical model of hyperspectral system performance

John P. Kerekes, Jerrold E. Baum, Kristine E. Farrar

Proceedings Volume 3701, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X; (1999) https://doi.org/10.1117/12.352969
Event: AeroSense '99, 1999, Orlando, FL, United States

Abstract

In support of hyperspectral sensor system design and parameter tradeoff investigations, an analytical end-to-end remote sensing system performance forecasting model is being developed. The model uses statistical descriptions of class reflectances in a scene and propagates them through the effects of the atmosphere, the sensor, and any processing transformations. A resultant system performance metric is then calculated based on these propagated statistics. The model divides a remote sensing system into three main components: the scene, the sensor, and the processing algorithms. Scene effects modeled include the solar illumination, atmospheric transmittance, shade effects, adjacency effects, and overcast clouds. Sensor effects modeled include the following radiometric noise sources: shot noise, thermal noise, detector readout noise, quantization noise, and relative calibration error. The processing component includes atmospheric compensation, various linear transformations, and a spectral matched filter used to obtain detection probabilities. This model has been developed for the HYDICE airborne imaging spectrometer covering the reflective solar spectral region from 0.4 to 2.5 micrometers . The paper presents the theory and operation of the model, as well as provides the results of validation studies comparing the model predictions to results obtained using HYDICE data. An example parameter trade study is also included to show the utility of the model for system design and operation applications.

Citation Download Citation

John P. Kerekes, Jerrold E. Baum, and Kristine E. Farrar "Analytical model of hyperspectral system performance", Proc. SPIE 3701, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing X, (12 July 1999); https://doi.org/10.1117/12.352969

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