Image Fusion Technology for Recognition of Mine Environment
The observation data from satellites presents great potential in recognition of mine environment,due to the measurement of a stable,long time serials over wide regions.This paper takes phosphorus mine in western Hubei as the research area,synthesized application characteristics of different fusion methods in the investigation of mining situation and environment of mines.Extensive experimental results including the fusion of multifocus methods,Brovey image fusion method,HIS integration Fatoumata transform,principal component analysis (PCA) transformation method,high-pass filter (High-Pass Filtering),wavelet fusion,Gram-Schmidt spectral sharpening method integration and Andorre integration.The method provides new technical means for boundary confirmation,scope plotting and data renovation in dynamic observation of mining,resolved the problems such as big errors and low speed data processing existed in the past approach and method for obtaining information.
Image fusion Mine environment Recognition
Zhou Mandi Zhang Zhi Huang Ting
Key Lab.of Geographic Information Science, East China Normal University, 500 Dongchuan Road, Shangha China University of Geosciences, Wuhan, 430074
国际会议
武汉
英文
297-300
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）