Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection

Chase Cañas; John P. Kerekes; Emmett J. Ientilucci; Scott D. Brown

doi:10.1117/12.2633609

30 September 2022 Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection

Chase Cañas, John P. Kerekes, Emmett J. Ientilucci, Scott D. Brown

Author Affiliations +

Proceedings Volume 12235, Imaging Spectrometry XXV: Applications, Sensors, and Processing; 122350E (2022) https://doi.org/10.1117/12.2633609
Event: SPIE Optical Engineering + Applications, 2022, San Diego, California, United States

Abstract

Systems modeling of hyperspectral instruments is effective for forecasting instrument performance of subpixel target detection. A new reconfiguration of the statistical model-based tool FASSP (Forecasting and Analysis of Spectroradiometric System Performance) is currently in development at the Rochester Institute of Technology, for purposes of exploring systems limitations in subpixel detection. To validate the baseline functioning of the statistical model, empirical analyses using real data were cross-examined with model predictions. The real data were collected from a field experiment using a hyperspectral sensor on-board an unmanned aerial system (UAS). To assist in model validation, a variety of novel subpixel targets, spanning a range of constant target percentages, were designed and deployed in the field. The UAS was advantageous in enabling the research team to maintain full end-to-end control of the system parameters within the experiment. This includes selecting specific flight lines, collecting ground truth spectral measurements, deploying specific targets, and processing raw data into geophysical units of surface reflectance. The study revealed close alignment between the empirical results and modeled predictions.

Conference Presentation

Citation Download Citation

Chase Cañas, John P. Kerekes, Emmett J. Ientilucci, and Scott D. Brown "Empirical validation of a hyperspectral systems model for subpixel target detection using data from a new UAS field collection", Proc. SPIE 12235, Imaging Spectrometry XXV: Applications, Sensors, and Processing, 122350E (30 September 2022); https://doi.org/10.1117/12.2633609

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