论文部分内容阅读
遥感色调异常是遥感矿化信息识别和遥感找矿的重要标志．用于增强和提取色调异常的多种图像分析方法，如反差增强、波段比值、主成分分析、色度空间变换等，在不同的场合具有不同的应用效果．针对这些方法的不同特点，提出将它们密切结合：将遥感图像处理分为特征提取、特征选择、异常划分及描述3个层次，序次处理的色调异常分析协同优化策略，发展了监督主成分分析和基于遥感方程的阴影区色调异常识别的色度掩模亮度匹配方法。在吉林老岭金矿信息提取中该方法应用效果显著．
Remote sensing color anomaly is an important symbol of remote sensing mineralization information identification and remote sensing prospecting. A variety of image analysis methods, such as contrast enhancement, band ratio, principal component analysis, color space transformation, etc., for enhancing and extracting hue anomalies have different application effects on different occasions. Aiming at the different characteristics of these methods, this paper puts forward that they should be closely combined: the remote sensing image processing is divided into feature extraction, feature selection, anomaly division and description of three levels, sequential processing, And a colorimetric mask brightness matching method based on the remote sensing equation to identify the abnormal color tone in the shaded area. The method is effective in extracting information from Laoling gold deposit in Jilin Province.