{"title":"深部煤炭资源地震勘探时频频谱白化","authors":"W. Ji, Cheng Jianyuan, Lu Ting, Zou Yunchao","doi":"10.1109/RSETE.2011.5964592","DOIUrl":null,"url":null,"abstract":"Exploration and development of the deep part coal resource have important strategic meanings for Chinese economic. However, the seismic of strata in deep part is always suffering from the decline of resolution. To overcome this problem, we propose a method to improve resolution of seismic data by spectrum whitening in time-frequency domain. Compared with conventional algorithm, our method enhances every point of a seismic signal according to the spectrum in a local region. The application results of the real data show our method could broaden bandwidths of seismic data and make strata in deep part more distinct and continuous.","PeriodicalId":6296,"journal":{"name":"2011 International Conference on Remote Sensing, Environment and Transportation Engineering","volume":"16 1","pages":"1594-1597"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Spectrum whitening in time-frequency domain for deep part coal resource seismic exploration\",\"authors\":\"W. Ji, Cheng Jianyuan, Lu Ting, Zou Yunchao\",\"doi\":\"10.1109/RSETE.2011.5964592\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Exploration and development of the deep part coal resource have important strategic meanings for Chinese economic. However, the seismic of strata in deep part is always suffering from the decline of resolution. To overcome this problem, we propose a method to improve resolution of seismic data by spectrum whitening in time-frequency domain. Compared with conventional algorithm, our method enhances every point of a seismic signal according to the spectrum in a local region. The application results of the real data show our method could broaden bandwidths of seismic data and make strata in deep part more distinct and continuous.\",\"PeriodicalId\":6296,\"journal\":{\"name\":\"2011 International Conference on Remote Sensing, Environment and Transportation Engineering\",\"volume\":\"16 1\",\"pages\":\"1594-1597\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 International Conference on Remote Sensing, Environment and Transportation Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RSETE.2011.5964592\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Remote Sensing, Environment and Transportation Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RSETE.2011.5964592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectrum whitening in time-frequency domain for deep part coal resource seismic exploration
Exploration and development of the deep part coal resource have important strategic meanings for Chinese economic. However, the seismic of strata in deep part is always suffering from the decline of resolution. To overcome this problem, we propose a method to improve resolution of seismic data by spectrum whitening in time-frequency domain. Compared with conventional algorithm, our method enhances every point of a seismic signal according to the spectrum in a local region. The application results of the real data show our method could broaden bandwidths of seismic data and make strata in deep part more distinct and continuous.