A Study of Relative Radiometric Normalization for Dynamic Monitoring of Environment Impacts of Mining Activities
ZHU Yan 1， ZHANG Zhi 1,2， ZHANG Qin 3， LIU Feng-mei 1， LIU Wen-ting 1
1.Department of Earth Science， China University of Geosciences， Wuhan 430074， China； 2.Department for Crust Dynamics & Deep Space Exploration， NRSCC， Wuhan 430074， China； 3.Department of Geometric Engineering， China University of Geosciences, Wuhan 430074， China
In the dynamic monitoring based on RS image data，the Pseudo Invariant Features (PIF) method is often chosen by domestic researchers. However，when the RS image data are lack of temporally invariant features，they would make interference errors because of temporally variant features. Some mining environments contain large areas of vegetation and less areas for inhabitants. In such cases，the PIF method doesn’t work when it is used for relative radiometric normalization in the mining environment. The Temporally Invariant Cluster (TIC) method is thus introduced in this paper. TIC is a simple and effective method which creates a regression function thorough the high density of the temporally invariant features, so it wouldn’t be interrupted by the temporally variant features and is suitable for mining environment dynamic monitoring. The study area is a polymetallic ore deposit in southeast Hubei Province. The image is based on TM data. The TIC method was used in the NDVI. It is proved that this means can effectively reduce the radiometric difference, and that further analysis can be carried out based on the results obtained.
祝燕, 张志, 张芹, 刘凤梅, 刘文婷. 矿山环境遥感动态监测中的相对辐射校正方法研究[J]. 国土资源遥感, 2010, 22(3): 47-50.
ZHU Yan, ZHANG Zhi, ZHANG Qin, LIU Feng-Mei, LIU Wen-Ting. A Study of Relative Radiometric Normalization for Dynamic Monitoring of Environment Impacts of Mining Activities. REMOTE SENSING FOR LAND & RESOURCES, 2010, 22(3): 47-50.
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2010, Vol. 22 
