Radar clutter as an indicator for vegetation classification using a single dual polarimetric TSX-1 image

Marina Hetz; Dan G. Blumberg; Stanley R. Rotman; Roee Enbar; Ariel Benou

doi:10.1117/12.2029285

17 October 2013 Radar clutter as an indicator for vegetation classification using a single dual polarimetric TSX-1 image

Marina Hetz, Dan G. Blumberg, Stanley R. Rotman, Roee Enbar, Ariel Benou

Author Affiliations +

Proceedings Volume 8891, SAR Image Analysis, Modeling, and Techniques XIII; 88910R (2013) https://doi.org/10.1117/12.2029285
Event: SPIE Remote Sensing, 2013, Dresden, Germany

Abstract

This paper investigates the ability to classify different vegetation types covering a semi-arid Mediterranean vegetated area using single-polarization SAR images from the TerraSAR-X (TSX-1) satellite. Based on statistical moments such as mean, standard deviation (STDEV), skewness and kurtosis, we found textural differences useful for the classification of the vegetation types. The research site, located near Zafit Hill, Israel, includes several different vegetation types such as pines and cypress forests with shrubs as an underlying vegetation layer (understory), olive orchards, eucalyptus clusters, natural grove areas with the presence of stones and smooth rocks, a wet cotton field, and smooth agricultural fields after harvest. In each vegetation type area, 40 equal polygons (10*10 pixels each) were identified on an optical image and defined on the TSX-1 image; 280 polygons in total were identified. The aforementioned statistical parameters were produced for each polygon, and co-variance matrices of combinations of two, three, or all four parameters together were produced. It was found that using the Mahalanobis distance of the mean-STDEV-skewness combination after applying a mode filter (5*5 in size) was the best way to classify the vegetation types in the research area.

Citation Download Citation

Marina Hetz, Dan G. Blumberg, Stanley R. Rotman, Roee Enbar, and Ariel Benou "Radar clutter as an indicator for vegetation classification using a single dual polarimetric TSX-1 image", Proc. SPIE 8891, SAR Image Analysis, Modeling, and Techniques XIII, 88910R (17 October 2013); https://doi.org/10.1117/12.2029285

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