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分形方法已经成为提高勘查地球化学、地球物理信息的重要途径之一,但该方法在遥感数据处理领域的应用研究较少。以河南卢氏木桐钼铁多金属矿区为实验区,ETM+遥感影像为数据源,运用MPH与波段比值、滤波等方法组合提取该实验区的蚀变信息。采用分形理论的求和法像元亮度—面积模式,对所提取出来的铁染蚀变进行定量分析,并与传统阈值选取方法进行了对比研究。结果表明蚀变作为一种地质记录,其空间展布不仅具有分形特征,而且具有多重分形的特征,在此基础上,对实验区遥感蚀变异常进行分级,弥补了传统的门限化方法和利用灰度直方图目视确定突变点方法的不足,取得了较好效果。
Fractal method has become one of the important ways to improve geochemical exploration and geophysical information. However, the application of this method in the field of remote sensing data processing is few. Taking the Lutolith Molybdenum and Iron polymetallic deposit in Henan Province as the experimental area and the ETM + remote sensing image as the data source, the alteration information of the experimental area was extracted by combining MPH with band ratio and filtering. Using the fractal theory summing method pixel brightness - area model, the quantitative analysis of the extracted iron dye alteration was carried out and compared with the traditional threshold selection method. The results show that alteration, as a geological record, has not only fractal characteristics but also multi-fractal features in spatial distribution. On the basis of this, the alteration of remote sensing alteration in experimental area is graded to make up for the traditional threshold method and its utilization Grayscale histogram visually determine the mutation point of the deficiencies, and achieved good results.