Spatial texture in AirSAR images of the Greenland ice sheet

Author

Lin, I.-I. ; Rees, W.G.

Author_Institution

Scott Polar Res. Inst., Cambridge Univ., UK

Volume

4

fYear

1994

fDate

8-12 Aug 1994

Firstpage

2385

Abstract

This work presents studies of the spatial structure (texture) of SAR images of ice sheets and its role in their interpretation and classification. JPL, polarimetric AirSAR data of the southwestern part of the Greenland ice sheet is analysed using first order statistics, the power law semivariogram (PSV), and the grey level cooccurrence matrix (GLCM) techniques to determine the extent to which areas of wet snow and ice facies can be distinguished. First order statistics are not able to discriminate these classes. The PSV and GLCM techniques work at P band, especially in the case of the cross-polarized data

Keywords

airborne radar; geophysical signal processing; glaciology; hydrological techniques; image classification; image texture; radar applications; radar imaging; radar polarimetry; remote sensing; remote sensing by radar; snow; synthetic aperture radar; AirSAR; Greenland ice sheet; P band; VHF UHF; cross-polarized; first order statistics; glaciology; grey level cooccurrence matrix; hydrology; ice facies; image classification; image texture; measurement technique; power law semivariogram; radar polarimetry; remote sensing; spatial structure; spatial texture; synthetic aperture radar imaging; wet snow; Backscatter; Frequency; Ice surface; Image texture analysis; Layout; NASA; Polarization; Snow; Statistics; Surface texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International

Conference_Location

Pasadena, CA

Print_ISBN

0-7803-1497-2

Type

conf

DOI

10.1109/IGARSS.1994.399745

Filename

399745