On the performance of CEM and TCIMF

Qian Du; Hsuan Ren

doi:10.1117/12.603195

1 June 2005 On the performance of CEM and TCIMF

Qian Du, Hsuan Ren

Proceedings Volume 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI; (2005) https://doi.org/10.1117/12.603195
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

Detection of targets at subpixel level is a very challenging task due to the lack of available spatial properties, low probability of target occurrence, and background interference. Constrained Energy Minimization (CEM) is a popular technique for target detection in hyperspectral images. It is particular useful when only the desired target signature is available. When those undesired signatures to be eliminated are also known, Target Constrained Interference Minimization Filter (TCIMF) can be used to minimize the output of undesired signatures to further improve the target discrimination performance. Both CEM and TCIMF are match-filter based detectors. In this paper, we will further investigate their performance in background suppression, and how to improve the generalization capability in the detection of objects with large size.

Citation Download Citation

Qian Du and Hsuan Ren "On the performance of CEM and TCIMF", Proc. SPIE 5806, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI, (1 June 2005); https://doi.org/10.1117/12.603195

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