基于高分三号极化SAR数据的农作物散射特性分析及分类
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摘要
高分三号卫星是我国首颗多极化的高分辨率C波段SAR卫星,其于2017年1月正式交付用户使用后,主要被用于海洋遥感方面的研究。而极化SAR对于农作物的结构特征十分敏感,适合于农作物监测及分类。文中首次利用高分三号的极化SAR数据分析不同农作物的极化散射特性,然后利用H/α-wishart分类和H/A/α-wishart分类方法对湖南省岳阳县洞庭湖实验区域的高分三号极化SAR数据进行分类。整体分类精度高于85%,Kappa系数大于0.8。实验结果表明,高分三号全极化数据能够较好地表征农作物的散射特性,并可用于极化SAR农作物分类研究。
GF-3 satellite is the first high resolution C-band full-polarimetric Synthetic Aperture Radar(SAR) satellite of China. Since delivered to the users in the January 2017, its data has been mainly applied to the researches about the marine remote sensing. While the polarimetric SAR data is suitable for the crop monitoring and classification, it is sensitive to the structural features of the crops. This paper analyzes the polarimetric scattering features of different crops. Then the H/α-wishart and the H/A/α-wishart classification methods are used for GF-3 full-polarimetric SAR data over Dongting Lake, Yueyang, Hunan. The classfication accuracies reach 85% and the Kappa coefficients are more than 0.8. Finally, the result shows that the GF-3 data can be successfully applied to indicating the polarimetric scattering characteristics of the crops and can be used for the researches on the crop classification.
GF-3 satellite is the first high resolution C-band full-polarimetric Synthetic Aperture Radar(SAR) satellite of China. Since delivered to the users in the January 2017, its data has been mainly applied to the researches about the marine remote sensing. While the polarimetric SAR data is suitable for the crop monitoring and classification, it is sensitive to the structural features of the crops. This paper analyzes the polarimetric scattering features of different crops. Then the H/α-wishart and the H/A/α-wishart classification methods are used for GF-3 full-polarimetric SAR data over Dongting Lake, Yueyang, Hunan. The classfication accuracies reach 85% and the Kappa coefficients are more than 0.8. Finally, the result shows that the GF-3 data can be successfully applied to indicating the polarimetric scattering characteristics of the crops and can be used for the researches on the crop classification.
引文
[1] 张庆君.高分三号卫星总体设计与关键技术[J].测绘学报,2017,46(3):269-277.
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[8] 秦其明.“3S”技术在精细农业发展中的应用研究[J].中国农业资源与区划,2000,21(6):55-58.
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[10] CHANG Y,LI P,YANG J,et al.Polarimetric Calibration and Quality Assessment of the GF-3 Satellite Images[J].Sensors 2018,18,403.
[11] SHI L,YANG J,LI P.Co-polarization channel imbalance determination by the use of bare soil[J].Isprs Journal of Photogrammetry & Remote Sensing,2014,95(9):53-67.
[12] DELEDALLE C A,TUPIN F,DENIS L.Polarimetric SAR estimation based on non-local means[C]// Geoscience and Remote Sensing Symposium.IEEE,2010:2515-2518.
[13] CLOUDE S R,POTTIER E.A review of target decomposition theorems in radar polarimetry[J].IEEE Trans.geosci.remote Sensing,1996,34(2):498-518.
[2] 丁赤飚,刘佳音,雷斌,等.高分三号SAR卫星系统级几何定位精度初探[J].雷达学报,2017,6(1):11-16.
[3] LIU J,QIU X,HAN B,et al.Study on geo-location of sliding spotlight mode of GF-3 satellite[C]// Synthetic Aperture Radar.IEEE,2015:417-420.
[4] HOU B,ZHANG X,BU X,et al.SAR Image Despeckling Based on Nonsubsampled Shearlet Transform[J].IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing,2012,5(3):809-823.
[5] 杨劲松,任林,王隽.高分三号卫星对海浪的首次定量遥感[J].海洋与湖沼,2017,48(2):207-209.
[6] 王文煜,谢春华,袁新哲,等.高分三号卫星ATI模式海表面流场测量性能分析[J].航天器工程,2017,26(1):132-139.
[7] 刘泽宇,柳彬,郭炜炜,等.高分三号NSC模式SAR图像舰船目标检测初探[J].雷达学报,2017(5):0-0.
[8] 秦其明.“3S”技术在精细农业发展中的应用研究[J].中国农业资源与区划,2000,21(6):55-58.
[9] 赵良波,李延,张庆君,等.高分三号卫星图像质量指标设计与验证[J].航天器工程,2017,26(6):64-67.
[10] CHANG Y,LI P,YANG J,et al.Polarimetric Calibration and Quality Assessment of the GF-3 Satellite Images[J].Sensors 2018,18,403.
[11] SHI L,YANG J,LI P.Co-polarization channel imbalance determination by the use of bare soil[J].Isprs Journal of Photogrammetry & Remote Sensing,2014,95(9):53-67.
[12] DELEDALLE C A,TUPIN F,DENIS L.Polarimetric SAR estimation based on non-local means[C]// Geoscience and Remote Sensing Symposium.IEEE,2010:2515-2518.
[13] CLOUDE S R,POTTIER E.A review of target decomposition theorems in radar polarimetry[J].IEEE Trans.geosci.remote Sensing,1996,34(2):498-518.