| Zhangjiajie quartz sandstone peak forest landform is formed under the action of specific geological tectonic movement and external force,which is rare in the world,and is also the focus of many scholars.However,how to extract Zhangjiajie landform information from remote sensing images has not been a good method.It is one of the hotspots of current research to use the spectral characteristics of ground objects to guide the extraction of remote sensing information.In this paper,the method of extracting geomorphological information of Zhangjiajie quartz sandstone peak forest is determined by analyzing the variation characteristics of measured spectral reflectance curves of ground objects.However,the performance of quartz sandstone peak forest information in remote sensing images is relatively weak,mainly because of the disturbance of vegetation and buildings in the study area.There are many objects,and the atmospheric scattering and the mixture of objects will also affect the spectral reflectance curve characteristics of target objects in remote sensing image data.Therefore,it is not enough to use the spectral curve characteristics of measured objects to guide the extraction of Zhangjiajie geomorphological information.In this paper,the Zhangjiajie geomorphology is deeply studied by using the field measured spectral data and Landsat 8 remote sensing image data of Wulingyuancore scenic spot.First,the same or different characteristics of the two types of data in the spectral curve space are compared and analyzed.Then,the point group distribution(clustering structure characteristics)of the two types of ground object data in the spectral characteristic space are analyzed emphatically,and the spectral characteristics of quartz sandstone are determined.Different image enhancement methods are used to enhance the information of quartz sandstone.Finally,the principal component analysis method is used to determine the information extraction model of Zhangjiajie quartz sandstone peak forest,and the model is used to extract Zhangjiajie geomorphological information of Wulingyuan core scenic area.Experiments show that the geomorphological information extracted by this model is more refined.The main research contents are as follows:(1)The spectral reflectance curves of typical objects in the study area of rocks,vegetation and water bodies are analyzed and studied.The results show that the spectral reflectance curves of Chinese fir and Masson pine are similar,and the spectral reflectance curves of rocks and Masson pine are distinctly different,which shows that the same objects and different objects are feasible in physical sense.Recognition and differentiation.(2)By comparing and analyzing the measured spectrum and remote sensing image data of rocks in different strata in the study area,it is foundthat the combination of OLI4 band and OLI2 band can determine the information of iron alteration in Zhangjiajie geomorphology;the ratio calculation of OLI4/5 and OLI5/2 band can identify the information of silicification alteration in the study area;and the remote sensing image can be deeply analyzed by mixing atmospheric scattering and objects.For example,the impact of data,and put forward the corresponding solutions.(3)Using the spectral characteristics of Zhangjiajie quartz sandstone obtained above,the remote sensing images in the study area are enhanced with various target information: simple addition and subtraction operations between OLI bands 2,3,4,5,6 and 7(e.g.OLI(3+4+6)-OLI(2+5+7))are used to enhance the rock and topographic information in remote sensing images;and the ratio band OLI 4/2 is used to enhance the iron alteration information of remote sensing images.Information;using OLI 4/5,OLI 5/2 ratio band to enhance the image of silicification alteration information;respectively,OLI 2,4,5,6 band and OLI 4,5,6,7Band principal component analysis to enhance the information of iron and silicification alteration.Finally,principal component analysis was carried out on different enhanced images to determine the best "Zhangjiajie Landform Information Extraction Model"-PC3=-0.421A1+0.432A2-0.815A3-0.051A4-0.102A5+0.12A6.(4)By comparing and analyzing the geomorphological information extracted from Zhangjiajie and supervised classification,it is found thatthe information extracted from Zhangjiajie quartz sandstone peak forest by this model has higher accuracy and reliability.The results of this study have important guiding significance for the investigation of tourism resources and future tourism planning in Zhangjiajie area.It provides a direction for the development of remote sensing image target information extraction based on "rough extraction-field verification and acquisition spectrum-fine extraction". |
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