矿山遥感监测中ZY-102C影像融合方法对比研究 |
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引用本文: | 吴开杰,肖欢,邵怀勇. 矿山遥感监测中ZY-102C影像融合方法对比研究[J]. 测绘与空间地理信息, 2015, 0(10): 67-69. DOI: 10.3969/j.issn.1672-5867.2015.10.021 |
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作者姓名: | 吴开杰 肖欢 邵怀勇 |
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作者单位: | 成都理工大学地学空间信息技术国土资源部重点实验室,四川成都,610059 |
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基金项目: | 国家自然科学青年基金项目(41302282);教育部高等学校博士点基金项目(20115122120007);国土资源部地质调查专项子课题(DA0005) |
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摘 要: | 基于ZY-1 02C数据开展矿产资源开发多目标遥感调查与监测,运用PCA,HSV,Brovery和GramSchmidt等融合方法对ZY-1 02C影像进行融合,对每种融合方法的融合效果进行定性与定量分析评价。研究结果表明,Gram-Schmidt融合方法是一种适合于矿产资源开发多目标遥感调查与监测的ZY-1 02C数据融合方法。
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关 键 词: | ZY-1 02C 遥感监测 图像融合 Gram-Schmidt |
Comparios n Research on Data Fusion Mte hods of ZY-1 02 C Image in Mine Remo te Sensing Monitoring |
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Abstract: | Utilizing ZY-1 02C data to remote sensing surveying and monitoring for mineral resources, applying data fusion methods such as PCA, HSV, Bravery and Gram-Schmidt on sharpening ZY-1 02C image, both qualitative analysis and quantitative analysis were carried out for each method.Comparison analysis shows, Gram-Schmidt method stands out as a suitable data fusion method for ZY-1 02C satellite image during remote sensing monitoring for mineral resources. |
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Keywords: | ZY-1 02C remote sensing monitoring data fusion Gram-Schmidt |
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