苏宝峰,李锦伟,靳标,郭交.非邻域相干系数估计的PolInSAR树高反演算法[J].农业机械学报,2015,46(12):268-273.
Su Baofeng,Li Jinwei,Jin Biao,Guo Jiao.Tree Height Inversion Algorithm with PolInSAR and Nonlocal Coherence Estimation[J].Transactions of the Chinese Society for Agricultural Machinery,2015,46(12):268-273.
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非邻域相干系数估计的PolInSAR树高反演算法   [下载全文]
Tree Height Inversion Algorithm with PolInSAR and Nonlocal Coherence Estimation   [Download Pdf][in English]
投稿时间:2015-08-24  
DOI:10.6041/j.issn.1000-1298.2015.12.036
中文关键词:  树高反演  极化干涉合成孔径雷达  相干系数  非邻域
基金项目:国家自然科学基金资助项目(41301450)、中央高校基本科研业务费专项资金资助项目(QN2013066、Z109021532)、卫星测绘技术与应用国家测绘地理信息局重点实验室经费资助项目(KLSMTA-201501)和西北农林科技大学人才专项基金资助项目(Z111021302)
作者单位
苏宝峰 西北农林科技大学 
李锦伟 西安电子科技大学 
靳标 西北农林科技大学 
郭交 西北农林科技大学 
中文摘要:为了提高全极化干涉合成孔径雷达树高反演精度,提出了一种基于非邻域窗口相干系数估计的PolInSAR树木高度反演算法。该算法首先求取4对全极化干涉SAR图像的最优干涉相位图,再以局部窗口内像素的幅度和相位联合条件概率密度为准则选取与当前像素满足独立同分布的样本,进而获得相干系数的准确估计值,最后采用三段法进行树木高度反演。对仿真数据的处理结果表明,所提算法能够提高观测场景中树木高度的反演精度,并且能够很好地保持图像中的边界细节信息。
Su Baofeng, Li Jinwei, Jin Biao and Guo Jiao
Northwest A&F University,Xidian University,Northwest A&F University and Northwest A&F University
Key Words:Tree height inversion  Polarimetric interferometric synthetic aperture radar  Coherence  Nonlocal
Abstract:Forest plays an important role in the terrestrial ecosystem. Acquirement of tree height has vital significances in global ecology analysis, environmental protection, national economic construction and other related fields. In the past decades, polarimetric interferometric synthetic aperture radar (PolInSAR) has been widely treated as an advanced microwave remote sensing technique to extract vegetation information of the earth surface. However, the existing methods for tree height inversion suffer seriously from the deviations of coherence estimation, especially in the case of high-resolution SAR images. In order to improve the accuracy of tree height estimation with single-baseline PolInSAR, a new tree height extraction algorithm with improved coherence estimation based on nonlocal sample selection was proposed. The optimized interferogram was firstly acquired from four pairs of quad polarimetric SAR images with the proposed algorithm, and then the independent identical distribution samples were selected which were adopted to estimate accurate coherence, and at last the classical three-stage height inversion processing procedures were employed to obtain the vegetation height. In the experiment, multiple pairs of PolInSAR data were simulated through the PolSARPro software designed by European Space Agency (ESA). From the experiments, it can be concluded that the proposed algorithm has the capacity to maintain the boundary information effectively and the accuracy of tree height estimation was increased by nearly 5%.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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