Characteristics Based On The Coda Envelope Extracted Ultrasonic Seabed Sediment Classification And Recognition Research

Along with the fast development of economy and science in the world,the need of mineral resources is growing day by day,however,the land resources are becoming less and less.In this situation,people tend to mine the resources in the ocean. Oceanic cobalt crust resource has been a commercial foreground strategically resource in 21 century and the head developed countries in the world have been doing the work of investigation and exploitation.In order to mine the new resources by our country independently, the investigation is done of the identification and classific-tion of the abyssalbenthic sediment in the dissertation, imbursed by the national natural science fund item "study on the Abyssalbenthic Cobalt-rich Crusts Tiny terrain Detecting Technology and the Best collection deepness model".The echoed tail wave is proposed based on the define of tail wave in seismology,and the envelop method of echoed tail wave is used in the classification of sediment in the dissertation. In order to found a classification model of sediment, fourteen actual swatchs are made to simulate the sediment in nature,based on the classification theory of Folk. The echo signals of these swatchs were gained,and the echoed tail waves were cropped from the signals by using the correlation principle. Then do wavelets transform to the tail wave and pick out the envelop feature vector,whose dimension is twenty-four. The discriminating feature vector whose dimension is thirteen,is extracted by optimal-set-of-discriminant-vectors method based on Fisher theory. At last,a classification model of sediment is founded by the discriminating feature vectors. In order to validate the classification model, two kinds of the sediment were sampled from the XiangJiang riverbed. Classify the samples by using our model,at the same time, classify them through Folk's classification theory.Two classification results are consilient, the exactness identification rate of our model is about 80 percents.The research of the dissertation affords favorable theoretic value for the identification and classification of the abyssalbenthic sediment. It also has realistic significance for the abyssalbenthic physiognomy and characters. The important is that the research furnishes effective technique sustain for the country abyssal mining.