Study On Extraction Of Lithologic Information Based On Multi-source Remote Sensing Data In Magmatic Region

Using remote sensing technolog to explorate mineral resourse in magmatic areas involving regional tectonic analysis, extensive research lithology identification. Lithology information enhanced extraction is an important research direction of remote sensing geological prospecting, In this paper, a case study the use of multi-source remote sensing data in Kanggur area to enhance research Magmatic information extraction methods.Kanggur area is located in the southwest of Xinjiang Hami, and mineralization is closely associated with the autumn Geming KANGGUERTAGE fault Tash- ductile shear zone near Huangshan, Xinjiang is more important as mine. The district has numerous intrusive igneous rocks, these intrusive rocks and its nearby iron ore and copper-nickel mine is more relevant. For information on the area lithology magmatic rocks, study of the inferior and recognition can be enhanced through remote sensing technology. Meanwhile, the genesis of the study with a variety of metal deposits are more relevant, can provide strong support and the basis for the investigation of mineral resources. Therefore, the study by analyzing rocks spectral information, the use of multi-source remote sensing image enhancement and recognition technology and lithology of Kangguer enhanced regional lithological information and extraction, and achieved certain results.Research work in the field of typical rock samples were collected spectral to obtain the spectral curve of different lithology of intrusive rocks and minerals combined with spectral characteristics of previous experience with the USGS spectral library contrast, the spectral characteristics of the lithologic characteristics summary analysis, study area lithology spectrum corresponding causes, and research of remote sensing data to reflect the lithological characteristics of the spectrum band. Because a single remote sensing data for lithology detection capability is limited, and multi-source remote sensing data can be more effective access to the ground spectral characteristics similar to the characteristics of the band, so the study based on the spectral characteristics, the use of multi-source remote sensing data for the study area Kanggur lithology informationenhancement and extraction, summed up a more effective technical approach and provide some regional prospecting methods and theoretical basis. In this paper, innovation and knowledge as follows:(1)Based on testing of rock sample spectrum, summarizes the spectrum of Kang Guer main lithological characteristics, and assesses the characteristics of remote sensing data for bands such as ASTER, Landsat8 OLI sensitivity, and the use of these remote sensing data with lithologic information enhanced technology.(2) From the lithological characteristics and spectral remote sensing images lack a single paper discusses the ASTER multispectral remote sensing data and Landsat8 OLI, SPOT5, World View-2 data band synergistically enhanced lithological information. Work explores the integration and coordination of multi-source remote sensing data and other processes, the use of collaborative multi-source remote sensing images explore solutions with a single image spatial resolution, insufficient spectral resolution of such issues.(3) Based on mathematical and statistical ideas on multi-source remote sensing images for lithologic information to enhance the best band combination selective extraction applications. Best band combination with false color composite were obtained ways to enhance regional lithology, and by interpreting the analysis, comparing the effects of different sources of lithological interpretation of remote sensing data classification, and extract a more accurate regional lithological information.