Feature-motivated Sinclair matrix (sphere/diplane/helix) decomposition and its application to target sorting for land feature classification

Ernst Krogager; Wolfgang-Martin Boerner; Soren N. Madsen

doi:10.1117/12.300620

23 December 1997 Feature-motivated Sinclair matrix (sphere/diplane/helix) decomposition and its application to target sorting for land feature classification

Ernst Krogager, Wolfgang-Martin Boerner, Soren N. Madsen

Author Affiliations +

Proceedings Volume 3120, Wideband Interferometric Sensing and Imaging Polarimetry; (1997) https://doi.org/10.1117/12.300620
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

A three-component (sphere, diplane, helix) decomposition of the complex Sinclair scattering matrix is described. Its application in relation to target characterization and identification is illustrated by applying the decomposition to fully polarimetric SAR data from the Danish EMISAR system.

Citation Download Citation

Ernst Krogager, Wolfgang-Martin Boerner, and Soren N. Madsen "Feature-motivated Sinclair matrix (sphere/diplane/helix) decomposition and its application to target sorting for land feature classification", Proc. SPIE 3120, Wideband Interferometric Sensing and Imaging Polarimetry, (23 December 1997); https://doi.org/10.1117/12.300620

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