李国元,崔成玲,陈继溢,高显连,袁小棋

• 1:国家测绘地理信息局卫星测绘应用中心
• 2:北京吉威时代软件股份有限公司
• 3:国家林业局卫星林业应用中心

摘要(Abstract)：

针对奇偶拐点高斯分解法进行高斯分解确定波峰位置效率较低的问题,该文提出了一种基于波峰自动识别的全波形数据高斯分解算法,该方法引进了能快速、准确定位波峰位置的findpeaks函数。以国外冰、云和陆地高程卫星/地球科学激光测高系统(ICESat/GLAS)数据为例,就分解的精度和效率与其他分解算法进行对比,结果表明,该文算法在分解效率上较奇偶拐点高斯分解法有较大提高,却稍逊色于findpeaks峰值分解算法;在分解精度方面则完全优于其他两种算法。最后利用改进后的算法进行森林树高的提取实验,进一步验证了该算法的有效性。

关键词(KeyWords)： 卫星激光测高;全波形数据处理;高斯分解;树高测量

Abstract:

Keywords:

基金项目(Foundation): 国家空基科研星工程先期攻关项目(2016K-10);; 国家测绘地理信息局2018年基础测绘科技项目(2018KJ0204);; 高分七号专项共性关键技术项目(11-Y20A12-9001-17/18,11-Y20A13-9001-17/18)

作者(Author): 李国元,崔成玲,陈继溢,高显连,袁小棋

DOI: 10.16251/j.cnki.1009-2307.2018.10.019

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