文章摘要
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
  
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
基金项目:
作者单位
刘 洁 江西省水土保持科学研究院江西师范大学地理与环境学院 
廖凯涛 江西省水土保持科学研究院江西省土壤侵蚀与防治重点实验室 
宋月君 江西省水土保持科学研究院江西省土壤侵蚀与防治重点实验室 
赖格英 江西师范大学地理与环境学院 
郑海金 江西省水土保持科学研究院江西省土壤侵蚀与防治重点实验室 
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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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