Polarimetric SAR Image Classification Based on the Degree of Polarization and Co-polarized Phase-Difference Statistics

Author

Chang, Geba ; Oh, Yisok

Author_Institution

Dept. of Electron. Inf. & Commun. Eng., Hongik Univ., Seoul

fYear

2007

fDate

11-14 Dec. 2007

Firstpage

1

Lastpage

4

Abstract

This paper proposes a polarimetric SAR image classification technique based on the degree of polarization (DoP) and co-polarized phase-difference (CPD) statistics. At first, the formulation for the DoP and CPD is derived. Then, the classification technique is verified with the JPL-AirSAR full polarimetric L-band data acquired in 2000, Korea. The technique has capability of classifying an SAR data into four major classes, such as bare surface, short vegetation canopy, tall vegetation canopy, and village.

Keywords

image classification; radar imaging; synthetic aperture radar; SAR data; copolarized phase-difference statistics; polarimetric SAR image classification; synthetic aperture radar; Image classification; L-band; Microwave communication; Microwave theory and techniques; Polarization; Receiving antennas; Scattering; Statistics; Stokes parameters; Vegetation mapping; SAR image classification technique; co-polarized phase difference; component; degree of polarization;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave Conference, 2007. APMC 2007. Asia-Pacific

Conference_Location

Bangkok

Print_ISBN

978-1-4244-0748-4

Electronic_ISBN

978-1-4244-0749-1

Type

conf

DOI

10.1109/APMC.2007.4555104

Filename

4555104