Please wait a minute...
浙江大学学报（农业与生命科学版）
Journal of Zhejiang University: Agric. & Life Sci.  2011, Vol. 37 Issue (2): 181-186    DOI: 10.3785/j.issn.1008-9209.2011.02.010
Agricultural sciences     
Rice information extraction using multipolarization airborne synthetic aperture radar  data
LI Kun,SHAO Yun,ZHANG Feng-li
Instituteof Remote Sensing Applications ,Chinese Academy of Sciences , Beijing 100101 ,China
Download: HTML ( )    PDF(3907KB)
Export: BibTeX | EndNote (RIS)      

Abstract  Using multi-polarization  (HH/HV/VH/VV)  airborne syntheti caperture radar  (SAR)  data, polarimetric responses of rice and typical features and their differences were analyzed, then rice identification method based on its characteristics of polarimetric response was established.The results showed that backscattering coefficients of rice in different polarizations were of great difference, and the difference between horizontal polarization (HH) and vertical polarization (VV) of rice was significantly higher than other surface features. Based on the characteristic, rice information was extracted using the ratio of horizontal and vertical polarizations [‹ HH ›／‹ VV ›] ,and good results were achieved. Rice identification accuracy was over  90.0%.  The image enhanced rice information was classified. Classification result showed that rice of different growth stages can be distinguished to some extent.

Published: 25 March 2011
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
LI Kun
SHAO Yun
ZHANG Feng-li
Cite this article:

LI Kun,SHAO Yun,ZHANG Feng-li. Rice information extraction using multipolarization airborne synthetic aperture radar  data. Journal of Zhejiang University: Agric. & Life Sci., 2011, 37(2): 181-186.

URL:

http://www.zjujournals.com/agr/10.3785/j.issn.1008-9209.2011.02.010     OR     http://www.zjujournals.com/agr/Y2011/V37/I2/181


基于多极化机载合成孔径雷达（SAR）数据的水稻识别

基于多极化 (HH/HV/VH/VV) 机载合成孔径雷达 (SAR) 数据 , 分析水稻和典型地物在不同极化方式上的响应特征及其差异 , 并根据水稻的极化响应特征进行识别 . 结果表明 : 水稻在不同极化方式上的响应差异比较大 , 而且水稻在水平极化 (HH) 和垂直极化 (VV) 上的差异明显高于其他地物 ; 基于这一特点 , 利用水平极化和垂直极化的比值 ‹HH› ／ ‹VV›提取水稻信息 , 取得了较好的效果 , 水稻识别精度可以达到90%以上 ; 对增强水稻信息的图像进行自动分类 , 分类结果表明不同生长期的水稻能够得到一定程度的区分.
No related articles found!