Paper Info
Title
High resolution Ka-band images of a small tree: measurements and models
Abstract
Ka-band (27 GHz to 36 GHz) radar images of a 2.5-m red maple tree, measured in the Ohio State University ElectroScience Laboratory (ESL), Columbus, compact range, are presented. Radar images of the tree with and without leaves were obtained, as well as images of a 6 in diameter metal sphere obscured by the tree for investigation of attenuation effects. The large bandwidth (9 GHz) of these measurements provides a cm scale range resolution, so that backscatter from individual components of the tree canopy can be separated. In addition, measurements made as a function of azimuth angle in 0.1 degree steps allow inverse synthetic aperture radar (ISAR) images to be obtained with cm scale resolutions in down and cross range. A single scattering model, in which tree branches are represented as a deterministic collection of cylinders and leaves as a distributed collection of curved dielectric sheets, is combined with a detailed measurement of the tree geometry to provide theoretical ISAR images for comparison with the measured data. Although incomplete knowledge of tree geometry limits a direct quantitative comparison of the measured and modeled returns, a qualitative comparison of images shows that single scattering models may be sufficient for obtaining many features of foliage objects in Ka-band radar images
Year
DOI
Venue
2000
10.1109/36.841973
IEEE T. Geoscience and Remote Sensing
Keywords
Field
DocType
radar scattering,geophysical techniques,synthetic aperture radar,sar,range resolution,leaves,isar,attenuation,model,acer rubrum,ehf,27 to 36 ghz,forestry,radar cross-sections,large bandwidth,measurements,azimuth angle,bare tree,branch,small tree,cm scale resolution,remote sensing by radar,radar cross section,ka-band,red maple,radar image,inverse synthetic aperture radar,scattering model,vegetation mapping,radar remote sensing,radar imaging,forest,geophysical measurement technique,backscatter,image resolution,indexing terms,high resolution,geometry,solid modeling,bandwidth
Tree canopy,Radar imaging,Synthetic aperture radar,Remote sensing,Backscatter,Optics,Inverse synthetic aperture radar,Tree measurement,Image resolution,Mathematics,Radar cross-section
Journal
Volume
Issue
ISSN
38
2
0196-2892
Citations 
PageRank 
References 
3
0.53
7
Authors
3
Name
Order
Citations
PageRank
Hyun-Jun Kim15511.49
Joel T. Johnson2926116.14
Brian A. Baertlein3585.88