刘 洁,廖凯涛,宋月君,赖格英,郑海金.南方崩岗区Pleiades影像融合评价及自动识别[J].江西水利科技,2020,(4): |
南方崩岗区Pleiades影像融合评价及自动识别 |
Comprehensive analysis of PLEIADES fusion for collapsing erosion in south China |
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DOI: |
中文关键词: Pleiades影像 崩岗 影像融合评价 崩岗自动识别 |
英文关键词: Pleiades Very high resolution satellite Image fusion |
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中文摘要: |
崩岗是南方红壤地区较为严重的土壤侵蚀类型,也是威胁区域生态安全的重要因素.利用七种影像融合方法对江西赣县金钩形小流域崩岗群的Pleiades卫星全色与多光谱影像进行融合,对不同方法的融合结果进行定性、定量评价及崩岗自动提取与精度分析.研究表明:能量分离变换法是一种比较有利南方崩岗侵蚀区Pleiades影像进行自动识别分类提取的融合方法. |
英文摘要: |
Collapsing erosion is one of the sever land erosion types in southern red soil region as well as a major factor that threaten the regional ecological safety.Through improving remote image resolution to collect the collapsing,the comprehensive management and supervision to the collapsing erosion area will be enhanced.PCA,CN spectrum fusion,Brovey transform,Gram-Schmidt spectrum sharpening,NND iffuse Pan Sharpening,HPF highpass filter transform and the fusion algorithm of multiplicative are used to process the fusion of the Pleiades satellite imagery.Combining qualitative and quantitative method,the fusion results for different methods are analyzed comprehensively through average value,standard error,deviation index,entropy and spectral correlation data.The results demonstrate that CN spectrum fusion can ensure the whole spectrum fidelity.Object-oriented extraction of collapse area is closer to visual decoded area.Therefore,the CN spectrum fusion is a better method for the supervision and classification of the collapsing erosion area for the Pleiades satellite imagery. |
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