Nonlinear unmixing of simulated MightySat FTHSI data for target detection limits in a humid tropical forest scene

Frederick P. Portigal; Leonard John Otten III

doi:10.1117/12.243231

17 June 1996 Nonlinear unmixing of simulated MightySat FTHSI data for target detection limits in a humid tropical forest scene

Frederick P. Portigal, Leonard John Otten III

Author Affiliations +

Proceedings Volume 2758, Algorithms for Multispectral and Hyperspectral Imagery II; (1996) https://doi.org/10.1117/12.243231
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

Abstract

In this paper we demonstrate the detection limits of the Kestrel Fourier transform hyper-spectral imager (FTHSI) on the MightySat II.I to detect target spectra in a complex natural scene. We simulate the MightySat II.I FTHSI data using a combination of landsat TM based endmember spectra derived from a scene of La Mosquitia, Honduras and library spectra measured in the field at 3 nm spectral resolution. The TM endmember images define the mixing space to produce a simulated hyper-spectral reflectance image. Fractions define how the field measured endmember spectra are mixed in order to produce the simulated hyper-cube. The HIMP model is used to predict the radiance as observed by the FTHSI. Results indicate that this technique allows the detection of tropical camouflage in a natural tropical background when the camouflage is mixed at one tenth of one percent with an accuracy of 95.7 percent. At one percent mixing ratio the detection accuracy rises to 99.7 percent. At five percent and beyond the detection accuracy is one hundred percent. This physically-based non-linear unmixing technique is two orders of magnitude more sensitive than traditional linear unmixing or matched filtering.

Citation Download Citation

Frederick P. Portigal and Leonard John Otten III "Nonlinear unmixing of simulated MightySat FTHSI data for target detection limits in a humid tropical forest scene", Proc. SPIE 2758, Algorithms for Multispectral and Hyperspectral Imagery II, (17 June 1996); https://doi.org/10.1117/12.243231

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Target detection

Camouflage

Data modeling

Sensors

Reflectivity

Calibration

Spectral calibration

Show All Keywords

Keywords/Phrases

Search In:

Publication Years