文献类型：期刊文献

中文题名：基于极化合成孔径雷达干涉测量的平均树高提取技术

英文题名：Polarimetric Synthetic Aperture Radar Interferometry Based Mean Tree Height Extraction Technique

作者：陈尔学[1] 李增元[1] 庞勇[1] 田昕[1]

第一作者：陈尔学

机构：[1]中国林业科学研究院资源信息研究所林业遥感与信息技术重点开放性实验室

年份：2007

卷号：43

期号：4

起止页码：66-70

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：CSTPCD;;Scopus;北大核心:【北大核心2004】；CSCD:【CSCD2011_2012】；

基金：国家863项目资助(2005AA132030)

语种：中文

中文关键词：极化合成孔径雷达;干涉测量;树高反演;SIR—C/X;SAR

外文关键词：polarimetric synthetic aperture radar; interferometry; tree height inversion; SIR-C/X SAR

分类号：TP79

摘要：在新疆和田地区建立SIR-C/X SAR极化干涉测量试验区,获取2次重复飞行的SIR-C/XSAR全极化干涉测量数据、覆盖试验区的地形图4幅、Landsat-5 TM及Landsat-7 ETM+数据各一景。在此基础上,研究实现POLinSAR数据处理及树高反演算法,并对试验结果进行初步分析评价。结果表明:本文所采用的极化干涉测量数据处理方法及树高反演算法是正确的;受去相干噪声因素的影响,重复飞行极化干涉SAR相干影像上可能存在大量的非体散射去相干散射体,识别这些散射体并加以剔除是保证得到正确树高提取结果的重要步骤。
Mean forest tree height is one important allometric parametric for the measurement of forest stand volume and above ground biomass. The development of quantitative tree height reversion technique of remote sensing can help to improve the estimation accuracy of forest volume and biomass in large scale, and provide technique supports for the scientific management of forest and globe carbon circle study. As one active microwave remote sensing technique, polarimetric synthetic aperture radar interferemetry （POLinSAR）, is an advanced and effective tree height inversion technique developed by scientists of the microwave remote sensing field in recent years. Two passes of SIR-C/X SAR L band full polarization single look complex （SLC） data were acquired for the test site established in Hetian of Xinjiang Uygur Autonomous Region. In addition to the SAR data, one scene of Landsat-5 TM data and one scene of Landsat-7 ETM ＋ data and some sheets of 1 ： 50 000 topographic maps covering the test site were collected. The POLinSAR data processing and tree height reversion algorithm were studied and programmed for the tree height inversion case study using the SIR-C/X POLinSAR dataset acquired. The primary analysis and evaluation of the achieved tree height inversion result have proved the truthfulness of the POLinSAR data processing and tree height inversion algorithms adopted in this paper. It has been observed that there maybe lots of non-volumetric decorrelation scatters on the poloarimetric coherence images acquired by repeat pass INSAR mode, identifying and kicking out these scatters was an important data processing step for getting true tree height extraction result.