Multispectral illumination invariant classification with three visible bands and a near-infrared band

Toshihiro Okamura; Jun-ichi Kudo; Kunihiro Tanikawa

doi:10.1117/1.1569497

1 June 2003 Multispectral illumination invariant classification with three visible bands and a near-infrared band

Toshihiro Okamura, Jun-ichi Kudo, Kunihiro Tanikawa

Optical Engineering, Vol. 42, Issue 6, (June 2003). https://doi.org/10.1117/1.1569497

We describe multispectral image processing with three visible bands and a near-infrared band, whose pictures are taken by the multispectral sensor. We have improved multispectral classification for remote sensing to detect the target. The improved method features the division of the measured image by the target signature to remove the effect induced by illuminance change. The multispectral vector is transformed to angular space, so that the target position is always in (π/4, π/4) in angular coordinates. Then the translation of the angular coordinate is carried out so that the target position comes to the origin. The target class is determined by setting the decision boundary around the origin. The experiment reveals the effectiveness of this method.

©(2003) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Toshihiro Okamura, Jun-ichi Kudo, and Kunihiro Tanikawa "Multispectral illumination invariant classification with three visible bands and a near-infrared band," Optical Engineering 42(6), (1 June 2003). https://doi.org/10.1117/1.1569497

Published: 1 June 2003

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