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《Journal of Jiling University (Earth Science Edition)》 2005-04
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Extraction of Remotely Sensing Alteration Information Based on Statistical Identification Model

L Feng-jun~1, XING Li-xin~2,FAN Ji-zhang~1,PAN Jun~1 (1.Institute of Mineral Resources Appraisal of Synthetic Information, Jilin University, Changchun130026,China;2.College of GeoExploration of Science and Technology, Jilin University, Changchun130026,China)  
Remote sensing data are discrete, finite and nonlinear. On the basis of the analysis and extraction of thematic texture information, using the grey levels of the abnormal areas and the ore-controlling structure information as the characteristic values, the authors have constructed a statistical identification model based on statistical theory for classing the characteristic vectors of unknown area. It has been applied in the Xiaoxinancha of east Jilin multivariable metallogenic target forecast and the prospecting and assessment near mining area. Combining extracted altered information with mine engineering geological knowledge, it well shows copper-gold mineralization and the results tallies with fact proved by exploring mineral engineering in the field.
【Fund】: 中国地质调查局项目(200120140119)
【CateGory Index】: P627
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1 SONG Ming-hui,PAN Jun,XING Li-xin College of GeoExploration of Science and Technology,Jilin University,Changchun 130026,China;The Remote-Sensing Study of Metallogenic Prognosis in the Qimantage Region,Eastern Kunlun[J];Journal of Jilin University(Earth Science Edition);2006-S1
2 LIANG Jun1,2 TAN Yong1,2 WANG Bin1 ZHANG Yunhu1(1 Yangtze River Scientific Research Institute;2 Research Center on Water Engineering Safety and Disaster Prevention of MWR,23 Huangpu Road,Wuhan 430010,China);APPLICATION OF WAVELET TRANSFORM IN REMOTE SENSING IMAGE TEXTURE ENHANCEMENT[J];Journal of Geomatics;2008-05
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【Secondary References】
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