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本文介绍了卡尔曼线性滤波——动态递推估计及其在森林连续清查中的应用,并研究了使用线性滤波的两个估计值:(1)滤波差——滤波向量两个元素之差;(2)递推差——两期估计值之间的差。前者此后者更为有效,但后者便于保持两期估计值之间的相互一致。本文还提出了两期森林连续清查不同SPR方案的滤波公式,并根据吉林省一个林业局的三期清查结果,对有关这个方法的某些问题进行了讨论和分析。
In this paper, Kalman linear filtering - dynamic recursive estimation and its application in continuous forest inventory are introduced. Two estimates using linear filtering are studied: (1) difference of filter - difference between two elements of filter vector; (2) Recursive difference - the difference between two estimates. The former is more effective than the latter, but the latter facilitates keeping the two estimates consistent. In this paper, we also propose two successive forest inventory formulas for different SPR schemes. Based on the three inventory results of a forestry bureau in Jilin Province, some problems about this method are discussed and analyzed.