Added Value of Coherent Copolar Polarimetry at X-Band for Crop-Type Mapping

被引：11

作者：

Busquier, Mario ^{[1
]}

Lopez-Sanchez, Juan M. ^{[1
]}

Bargiel, Damian ^{[2
]}

机构：

[1] Univ Alicante, Inst Comp Res IUII, Alicante, Spain

[2] Tech Univ Darmstadt, Inst Geodesy, Remote Sensing & Image Anal Grp, D-64289 Darmstadt, Germany

来源：

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS | 2020年 / 17卷 / 05期

关键词：

Agriculture; Correlation; Training; Backscatter; Testing; Polarimetry; Synthetic aperture radar; classification; polarimetry; synthetic aperture radar (SAR); TERRASAR-X; SAR; CLASSIFICATION;

D O I：

10.1109/LGRS.2019.2933738

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

A set of six spotlight TerraSAR-X images acquired at HH and VV polarizations in 2009 over an agricultural site in Germany are employed to evaluate the potential contribution of polarimetric features derived from this copolar mode to crop-type mapping. Results show that the inclusion of the correlation between copolar channels in the set of input features of the classifier consistently improves the classification performance with respect to the use of only backscattering coefficients. An increase around 8%-10% in overall accuracy, depending on the experiment setup, is achieved. Both user and producer accuracies are improved for all crop types, being the most noticeable contribution for barley, oat, and sugar beet. Different sets of input features, as well as classification and evaluation strategies, are tested in order to assess the robustness of this contribution.

引用

页码：819 / 823

页数：5

共 16 条

[1] A new method for crop classification combining time series of radar images and crop phenology information [J].