Polarimetric synthetic aperture radar （SAR） oil spill detection parameters conformity coefficient （μ）, Muller matrix parameters （｜C｜,B0 ）, the eigenvalues of simplified coherency matrix （λnos） and the infl...Polarimetric synthetic aperture radar （SAR） oil spill detection parameters conformity coefficient （μ）, Muller matrix parameters （｜C｜,B0 ）, the eigenvalues of simplified coherency matrix （λnos） and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena （oil slick and look likes）. The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches （low wind and biogenic slick） with the signal below the noise, polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes （low wind and biogenic slick） and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polafimetric SAR data oil spill detection should be carried out on the basis of noise consideration.展开更多
以美国航空航天局(National Aeronautics and Space Administration,NASA)、欧洲航天局(European Space Agency,ESA)、加蓬航天局合作的AfriSAR项目中的Lopenp和Mondah为实验区,以L波段的多基线全极化无人驾驶飞行器合成孔径雷达(unmann...以美国航空航天局(National Aeronautics and Space Administration,NASA)、欧洲航天局(European Space Agency,ESA)、加蓬航天局合作的AfriSAR项目中的Lopenp和Mondah为实验区,以L波段的多基线全极化无人驾驶飞行器合成孔径雷达(unmanned aerial vehicle synthetic aperture radar,UAVSAR)数据为数据源,分别采用高度偏差(height variance,VAR)方法、偏心率(eccentricity,ECC)方法和平均相干幅度与分离度乘积(product of average coherence magnitude and separation,PROD)方法、原点到拟合直线距离与分离度乘积(product of fitted line distance from origin and coherence separation,LINE)方法进行基线选择,并基于地面随机体散射模型(random volume on ground,RVoG)三阶段方法反演森林高度,以激光雷达获取的相对高度RH100对两个实验区的森林冠层高度反演结果进行验证。结果表明:在植被高度较小时,利用4种基线选择方法反演的森林冠层高度均比较合理,但森林高度较大时,ECC和VAR方法的低估较为严重;在Lopenp实验区中,采用VAR方法选择基线时,总体反演精度最低,R^(2)和均方根误差(root mean square error,RMSE)分别为0.36、26.27 m;采用ECC方法选择基线时,总体反演精度优于VAR方法,R^(2)和RMSE分别为0.50、13.94m;LINE方法的R^(2)和RMSE分别为0.72、8.71 m,PROD方法的R^(2)和RMSE分别为0.72、8.55 m。4种基线选择方法中,PROD和LINE方法的总体反演精度明显优于ECC和VAR方法。Mondah实验区结果的规律与Lopenp实验区的一致,说明利用多基线极化合成孔径雷达干涉测量(polarimetric interferometric synthetic aperture radar,PolInSAR)技术反演森林冠层高度时,基线选择方法对反演结果有重要影响。展开更多
基金The Shandong Natural Science Joint Foundation of China under contract No.U1606405
文摘Polarimetric synthetic aperture radar （SAR） oil spill detection parameters conformity coefficient （μ）, Muller matrix parameters （｜C｜,B0 ）, the eigenvalues of simplified coherency matrix （λnos） and the influence of SAR observing parameters, ocean environment and noise level are investigated. Radarsat-2 data are used to make systematic analysis of polarimetric parameters for different incidences, wind speeds, noise levels and the ocean phenomena （oil slick and look likes）. The influence of the SAR observing parameters, the ocean environment and the noise level on the typical polarimetric SAR parameter conformity coefficient has been analyzed. The results indicate that conformity coefficient cannot be simply used for oil spill detection, which represents the image signal to the noise level to some extent. When the signals are below the noise level for the oil slick and the look likes, the conformity coefficients are negative; while the signals above the noise level corresponds to positive conformity coefficients. For dark patches （low wind and biogenic slick） with the signal below the noise, polarization features such as conformity coefficient cannot separate them with oil slick. For the signal above the noise, the oil slick, the look likes （low wind and biogenic slick） and clean sea all have positive conformity coefficients, among which, the oil slick has the smallest conformity coefficient, the look likes the second, and the clean sea the largest value. For polarimetric SAR data oil spill detection, the noise plays a significant role. So the polafimetric SAR data oil spill detection should be carried out on the basis of noise consideration.
文摘以美国航空航天局(National Aeronautics and Space Administration,NASA)、欧洲航天局(European Space Agency,ESA)、加蓬航天局合作的AfriSAR项目中的Lopenp和Mondah为实验区,以L波段的多基线全极化无人驾驶飞行器合成孔径雷达(unmanned aerial vehicle synthetic aperture radar,UAVSAR)数据为数据源,分别采用高度偏差(height variance,VAR)方法、偏心率(eccentricity,ECC)方法和平均相干幅度与分离度乘积(product of average coherence magnitude and separation,PROD)方法、原点到拟合直线距离与分离度乘积(product of fitted line distance from origin and coherence separation,LINE)方法进行基线选择,并基于地面随机体散射模型(random volume on ground,RVoG)三阶段方法反演森林高度,以激光雷达获取的相对高度RH100对两个实验区的森林冠层高度反演结果进行验证。结果表明:在植被高度较小时,利用4种基线选择方法反演的森林冠层高度均比较合理,但森林高度较大时,ECC和VAR方法的低估较为严重;在Lopenp实验区中,采用VAR方法选择基线时,总体反演精度最低,R^(2)和均方根误差(root mean square error,RMSE)分别为0.36、26.27 m;采用ECC方法选择基线时,总体反演精度优于VAR方法,R^(2)和RMSE分别为0.50、13.94m;LINE方法的R^(2)和RMSE分别为0.72、8.71 m,PROD方法的R^(2)和RMSE分别为0.72、8.55 m。4种基线选择方法中,PROD和LINE方法的总体反演精度明显优于ECC和VAR方法。Mondah实验区结果的规律与Lopenp实验区的一致,说明利用多基线极化合成孔径雷达干涉测量(polarimetric interferometric synthetic aperture radar,PolInSAR)技术反演森林冠层高度时,基线选择方法对反演结果有重要影响。
