Three-dimensional hyperspectral texture recognition using multiband correlation models

Miaohong Shi; Glenn E. Healey

doi:10.1117/12.488560

23 September 2003 Three-dimensional hyperspectral texture recognition using multiband correlation models

Miaohong Shi, Glenn E. Healey

Author Affiliations +

Proceedings Volume 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX; (2003) https://doi.org/10.1117/12.488560
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

We develop new algorithms based on multiband correlation models for the recognition of hyperspectral textures in three dimensions. The dependence of the observed texture of a material sample on viewing and illumination angles can have varying degrees of complexity. The bidirectional texture function (BTF) describes the appearance of a textured surface as a function of the illumination and viewing directions. The lack of appropriate hyperspectral image sets has limited attempts to characterize the BTF for 3D hyperspectral textures. In this paper, we use the DIRSIG model to generate a set of hyperspectral images over ranges of illumination and viewing angles in the 0.4 to 2.5 spectral region. We evaluate the performance of our methods for recognizing three-dimensional hyperspectral textures under unknown illumination angle.

Citation Download Citation

Miaohong Shi and Glenn E. Healey "Three-dimensional hyperspectral texture recognition using multiband correlation models", Proc. SPIE 5093, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery IX, (23 September 2003); https://doi.org/10.1117/12.488560

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