CAJ | 학술논문

克里金法是一种应用广泛的低通滤波性插值方法，但其无法重建原始信息中的高频、低频和局部信息。分形插值算法可利用自相似性，在保留原始信息的基础上，克服克里金插值中低通滤波的局限性，从而提高插值的准确性。本文在传统分形插值算法的基础上，结合地质空间信息，提出了适用于矿床品位估算的四维空间分形插值算法，并将其应用于钼矿的品位估算。结果表明：在该钼矿的品位估算中，四维空间分形插值算法明显优于克里金法。
극리금법시일충응용엄범적저통려파성삽치방법，단기무법중건원시신식중적고빈、저빈화국부신식。분형삽치산법가이용자상사성，재보류원시신식적기출상，극복극리금삽치중저통려파적국한성，종이제고삽치적준학성。본문재전통분형삽치산법적기출상，결합지질공간신식，제출료괄용우광상품위고산적사유공간분형삽치산법，병장기응용우목광적품위고산。결과표명：재해목광적품위고산중，사유공간분형삽치산법명현우우극리금법。
Kriging interpolation is a widely used low-pass filter interpolation method, but it cannot reconstruct the high-frequency, low-frequency and partial information of original information. Fractal interpolation using self-similarity, which can retain original infor-mation, overcomes the limitations of Kriging interpolation low-pass filters, thereby improving the interpolation accuracy. On the basis of the traditional fractal interpolation algorithm and in combination with geological spatial information, this paper introduces a four-dimensional space fractal interpolation algorithm suitable for ore grade estimation. The interpolation algorithm is applied to molybde-num ore grade estimation and then compared with the Kriging interpolation algorithm. The results show that the interpolation algorithm is superior to the Kriging interpolation algorithm.