Classification and recognition method of objects based on their anisotropy properties

Sergey N. Savenkov; Valeri V. Marienko

doi:10.1117/12.205764

28 March 1995 Classification and recognition method of objects based on their anisotropy properties

Sergey N. Savenkov, Valeri V. Marienko

Proceedings Volume 2490, Optical Pattern Recognition VI; (1995) https://doi.org/10.1117/12.205764
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

The general approach to the problems of recognition and classification of objects based on the analysis of its anisotropy properties is discussed. Anisotropy properties of objects are presented by seven independent parameters having clear physical sense: relative value p and orientation (theta) of linear amplitude dichroism; relative value r of circular dichroism; relative value (delta) and orientation (alpha) of linear birefringence; value (phi) of circular birefringence and value of depolarization P. Analysis of anisotropy properties and obtainment of concrete values of above parameters are based on the theorem of decomposition claiming that the nondepolarizing Mueller matrix can always be presented on basis of the matrices of the phase and amplitude anisotropy. Developed in details classification system is presented. Taking into account the facts of presence or absence of any sort of anisotropy and of depolarization any object can be referred to the one of the 32 classes. If information on isotropic changes of amplitude and phase of radiation interacting with an object is interest than the analysis will be carried out in extended basis of anisotropy. Extended basis of anisotropy is the full equal model of real medium.

Citation Download Citation

Sergey N. Savenkov and Valeri V. Marienko "Classification and recognition method of objects based on their anisotropy properties", Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); https://doi.org/10.1117/12.205764

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