Study On Remote Sensing Information Extraction In Fuku District Of Yunnan

This paper takes the Fuku area of Yunnan Province as the research area,uses SPOT6,ASTER and OLI multispectral data to carry out remote sensing information extraction research on the high vegetation coverage research area,and compares the results of ASTER and OLI multispectral data alteration information extraction and field verification results.An optimal solution for extracting alteration information in the study area was obtained.In this study,the remote sensing image in the study area was first preprocessed;then the interpreting marks were constructed using the 321-band synthetic image map of SPOT6 remote sensing image data,and the image enhancement processing was carried out through band combination,vegetation inhibition method,and three-dimensional display method to help remote sensing geology.Interpretation;reusing "inhibition of low-medium vegetation coverage + mask high vegetation coverage area and other interference factors + principal component analysis + density segmentation" method for the study area ASTER and OLI remote sensing data for alteration information extraction,combined with field validation In the data,the results of the two alterations were analyzed and compared,and an optimal solution for extracting altered information in the study area was obtained.The research mainly achieved the following results:(1)To collect relevant geological data of the study area,with reference to the spatial resolution and spectral resolution of the remote sensing image data,to use the 321-band synthetic image map of the SPOT6 remote sensing image data in the study area to establish interpretation markers,and to use the vegetation inhibition method,three-dimensional display and band combination method Image enhancement processing was performed to remotely interpret the stratigraphic,lithologic,and cirrus structures in the study area.(2)In the extraction process of alteration information in the study area,ASTER and OLI remote sensing image data were used to extract alteration information.Based on the main disturbance factors such as vegetation,water system,shading,and Quaternary,the NDVI was used to divide the study area into high vegetation coverage area and medium-low vegetation coverage area.The algorithm suppresses vegetation information,and the de-interference treatment is performed on the vegetation coverage areas,water systems,shading,and Quaternary systems through the establishment of masks,which reduces the influence of vegetation cover on the alteration of information extraction.(3)The principal component analysis method was used to extract information on iron alteration and alteration information and hydroxy anomaly information in the study area.The density information was used to divide the alteration information into three levels of high,medium,and low,and the OLI single-band image was studied.The base map produced iron anomaly distribution maps and hydroxyl anomaly distribution maps.Combined with the field verification data and geological data,the comprehensive analysis and comparison of the alteration information obtained from the two remote sensing data shows that the ASTER data have certain advantages over the OLI data in spectral resolution and spatial resolution,and the extracted alteration information results.The accuracy is higher and more in line with the actual situation.