检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:韩文涛 朱建军[1] 付海强[1] HAN Wentao;ZHU Jianjun;FU Haiqiang(School of Geoscience and Info-Physics, Central South University, Changsha 410083, China)
机构地区:[1]中南大学地球科学与信息物理学院,湖南长沙410083
出 处:《测绘工程》2021年第2期45-49,共5页Engineering of Surveying and Mapping
摘 要:经典的Freeman-Durden三分量分解模型存在着体散射能量过度估计的现象,这种现象易导致倾斜建筑物(即建筑物的排列方向与雷达飞行方向不平行)被错误解译为森林。虽然存在多种分解方法来避免倾斜建筑物的错误解译,但从非反射对称散射的角度来应对体散射能量过度估计目前研究仍较少。因此,提出一种新的四分量分解方法,可有效抑制体散射能量的过度估计,并有助于探测地面目标。文中首先提出一种新的非反射对称模型,结合Freeman-Durden三分量分解模型,发展一种新的四分量分解模型;然后通过非线性最小二乘算法来反演模型;最后,利用ALOS2/PALSAR2卫星全极化数据进行实验。实验结果表明,提出的四分量分解算法能有效地抑制倾斜建筑物区域体散射能量的过度估计,并具有准确探测地面目标物的潜力。The main limitation of classic Freeman-Durden three-component decomposition is that the volume scattering is overestimated in oriented building areas,which easily leads to the oriented buildings being misinterpreted as forest.But different decomposition methods have been proposed to deal with this problem.There are fewer researches being cope with the problem by non-reflection symmetric model.In this paper,a modified four-component decomposition method is proposed which can effectively decrease the estimation of volume scattering and contribute to detect ground targets.First of all,a new non-reflection symmetric model is proposed.Combining with Freeman-Durden three-component decomposition,a modified four-component decomposition is proposed.The model is inverted with a nonlinear least square optimization algorithm.Finally,the PolSAR image acquired by ALOS2/PALSAR2 satellite is used to validate proposed method.The experimental result shows that the proposed method can effectively reduce the estimation of volume scattering over oriented building areas,and show its potential in detecting ground targets.
关 键 词:极化合成孔径雷达(PolSAR) 四分量分解 倾斜建筑物 体散射
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.133.117.5