The main scope of this research is to detect geologic structure trends affecting the study area, determine uranium anomalous areas and define alteration zones. Airborne magnetic data were used to detect the geologic s...The main scope of this research is to detect geologic structure trends affecting the study area, determine uranium anomalous areas and define alteration zones. Airborne magnetic data were used to detect the geologic structure trends affecting the study area through applying edge detectors such as total horizontal derivative, analytic signal and tilt derivative. The radio-spectrometry data and Landsat image data were used in determining the uranium anomalous areas and alteration zones. The integration between geology, magnetic and Landsat image was applied through constructing lineaments density map for the three data sets resulting in the leading of NW-SE trend all over the area. This integration makes clear that the basement (Red Sea hills), Esh El-mallaha range and G. Zeit are limiting two large basins (West Mallaha and Zeit). In addition, the main areas of uranium enrichment (Duwi formation at Esh El-Mallaha range) are found to be well related to alteration zones.展开更多
为了探究影像融合技术在土地分类中的适用性,找出适用于不同地物提取的融合方法,以LANDSAT 8 OLI 15m全色/30m多光谱影像为数据源,采用PC变换、Brovey变换、GS变换三种融合法对全色和多光谱影像进行融合,并对融合结果进行了定性和定量评...为了探究影像融合技术在土地分类中的适用性,找出适用于不同地物提取的融合方法,以LANDSAT 8 OLI 15m全色/30m多光谱影像为数据源,采用PC变换、Brovey变换、GS变换三种融合法对全色和多光谱影像进行融合,并对融合结果进行了定性和定量评价.基于地物光谱特征、决策树分类法提取研究区地类信息,比较多光谱影像和融合影像的信息提取精度.结果表明,三种融合方法均在空间细节表现能力得到提升,GS融合影像对建筑物识别能力较强,适用于城市建筑提取,而PC融合影像信息量最为丰富,突出显示水和植被信息,总分类精度和Kappa系数均为最高,是最适于农业信息提取的融合方法.展开更多
文摘The main scope of this research is to detect geologic structure trends affecting the study area, determine uranium anomalous areas and define alteration zones. Airborne magnetic data were used to detect the geologic structure trends affecting the study area through applying edge detectors such as total horizontal derivative, analytic signal and tilt derivative. The radio-spectrometry data and Landsat image data were used in determining the uranium anomalous areas and alteration zones. The integration between geology, magnetic and Landsat image was applied through constructing lineaments density map for the three data sets resulting in the leading of NW-SE trend all over the area. This integration makes clear that the basement (Red Sea hills), Esh El-mallaha range and G. Zeit are limiting two large basins (West Mallaha and Zeit). In addition, the main areas of uranium enrichment (Duwi formation at Esh El-Mallaha range) are found to be well related to alteration zones.
文摘为了探究影像融合技术在土地分类中的适用性,找出适用于不同地物提取的融合方法,以LANDSAT 8 OLI 15m全色/30m多光谱影像为数据源,采用PC变换、Brovey变换、GS变换三种融合法对全色和多光谱影像进行融合,并对融合结果进行了定性和定量评价.基于地物光谱特征、决策树分类法提取研究区地类信息,比较多光谱影像和融合影像的信息提取精度.结果表明,三种融合方法均在空间细节表现能力得到提升,GS融合影像对建筑物识别能力较强,适用于城市建筑提取,而PC融合影像信息量最为丰富,突出显示水和植被信息,总分类精度和Kappa系数均为最高,是最适于农业信息提取的融合方法.
