Spectral subspace matched filtering

Alan P. Schaum

doi:10.1117/12.436996

20 August 2001 Spectral subspace matched filtering

Alan P. Schaum

Proceedings Volume 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII; (2001) https://doi.org/10.1117/12.436996
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

Abstract

The linear matched filter has long served as a workhorse algorithm for illustrating the promise of multispectral target detection. However, an accurate description of a target's distribution usually requires expanding the dimensionality of its intrinsic signature subspace beyond what is appropriate for the matched filter. Structured backgrounds also deviate from the matched filter paradigm and are often modeled as clusters. However, spectral clusters usually show evidence of mixing, which corresponds to the presence of different materials within a single pixel. This makes a subspace background model an attractive alternative to clustering. In this paper we present a new method for generating detection algorithms based on joint target/background subspace modeling. We use it first to derive an existing class of GLF detectors, in the process illustrating the nature of the real problems that these solve. Then natural symmetries expected to be characteristic of otherwise unknown target and background distributions are used to generate new algorithms. Currently employed detectors are also interpreted using the new approach, resulting in recommendations for improvements to them.

Citation Download Citation

Alan P. Schaum "Spectral subspace matched filtering", Proc. SPIE 4381, Algorithms for Multispectral, Hyperspectral, and Ultraspectral Imagery VII, (20 August 2001); https://doi.org/10.1117/12.436996

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