基于遥感技术的矿区植被污染信息提取方法研究
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摘要
为了提高矿区植被污染的监测性能,提出一种基于遥感特征监测色彩融合的矿区植被污染信息提取方法,构建矿区植被污染遥感监测图像的特征分析模型,采用目标匹配方法进行矿区植被污染遥感监测图像分块匹配和信息融合处理,建立矿区植被污染遥感监测的均匀分布网格顶点分布模型,采用边缘轮廓检测方法进行矿区植被污染的特征分割和边缘轮廓检测,提取反应矿区植被污染特性的矿区植被污染的颜色特征量,根据特征提取结果进行矿区植被污染模糊自动匹配和颜色分类,采用块匹配方法实现矿区植被污染特征自动提取。
In order to improve the monitoring performance of vegetation pollution in mining area, a method of extracting vegetation pollution information from mining area based on color fusion of remote sensing feature monitoring is proposed, and the feature analysis model of remote sensing monitoring image of vegetation pollution in mining area is constructed. The object matching method is used for block matching and information fusion processing of remote sensing monitoring image of vegetation pollution in mining area, and a uniform distribution grid vertex distribution model for remote sensing monitoring of vegetation pollution in mining area is established. The feature segmentation and edge contour detection of vegetation pollution in mining area are carried out by using edge contour detection method, and the color characteristics of vegetation pollution in mining area are extracted, which reflect the characteristics of vegetation pollution in mining area. According to the result of feature extraction, the fuzzy matching and color classification of vegetation pollution in mining area are carried out, and the automatic extraction of vegetation pollution feature in mining area is realized by block matching method.
In order to improve the monitoring performance of vegetation pollution in mining area, a method of extracting vegetation pollution information from mining area based on color fusion of remote sensing feature monitoring is proposed, and the feature analysis model of remote sensing monitoring image of vegetation pollution in mining area is constructed. The object matching method is used for block matching and information fusion processing of remote sensing monitoring image of vegetation pollution in mining area, and a uniform distribution grid vertex distribution model for remote sensing monitoring of vegetation pollution in mining area is established. The feature segmentation and edge contour detection of vegetation pollution in mining area are carried out by using edge contour detection method, and the color characteristics of vegetation pollution in mining area are extracted, which reflect the characteristics of vegetation pollution in mining area. According to the result of feature extraction, the fuzzy matching and color classification of vegetation pollution in mining area are carried out, and the automatic extraction of vegetation pollution feature in mining area is realized by block matching method.
引文
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