测绘通报 ›› 2017, Vol. 0 ›› Issue (8): 36-40.doi: 10.13474/j.cnki.11-2246.2017.0250

• 学术研究 • 上一篇    下一篇

城市绿地信息提取中高分辨率卫星影像融合方法研究

王旻烨, 费鲜芸, 谢宏全, 刘帆, 张红   

  1. 淮海工学院测绘信息与海洋学院, 江苏 连云港 222005
  • 收稿日期:2016-12-09 修回日期:2017-01-09 出版日期:2017-08-25 发布日期:2017-08-29
  • 作者简介:王旻烨(1992-),男,硕士生,主要从事遥感影像处理研究。E-mail:hhitwmy@sina.com
  • 基金资助:
    国家自然科学基金(31070626;31270745);江苏省第九批次"六大人才高峰"项目;江苏省"333"工程人才项目

Study of Fusion Algorithms with High Resolution Remote Sensing Image for Urban Green Space Information Extraction

WANG Minye, FEI Xianyun, XIE Hongquan, LIU Fan, ZHANG Hong   

  1. School of Geomatics and Marine Information, HuaiHai Institute of Technology, Lianyungang 222005, China
  • Received:2016-12-09 Revised:2017-01-09 Online:2017-08-25 Published:2017-08-29

摘要: 利用GS变换、主成分分析、Ehlers变换、Wavelet分析、HIS变换5种方法对城区WorldView-2和PL-1A影像进行融合,并从影像融合质量和绿地信息提取精度两方面对融合方法的有效性进行了评价。结果表明:①5种融合方法中,GS变换融合的效果最好;主成分分析和Ehlers变换融合WorldView-2质量较好,但融合PL-1A影像质量较差;Wavelet变换、HIS变换融合两种影像质量都较差;②用于绿地信息提取时,GS、PCA融合影像获取的精度最高,其次为Ehlers、Wavelet融合影像,均明显高于多光谱影像的提取精度;Ehlers、Wavelet变换精度最低,绿地信息提取精度低于多光谱影像的提取精度。可以得出,影像融合可以明显地提高绿地信息提取精度,5种影像融合方法中,GS变换普适性较好,影像融合质量最好,提高分类精度效果最明显。

关键词: 城市绿地, 影像融合, 信息提取, 精度评价

Abstract: High remote sensing image has been applied in extracting urban green space information widely, however effectiveness of fusion algorithms need further research. GS, PCA, Ehlers, Wavelet, HIS are applied to merger of urban WorldView-2 and PL-1A image. Then the effectiveness of fusion algorithms are evaluated according to quality of fusion and accuracy of urban green space information extraction. The results show that GS fusion algorithm achieves the best results. Quality of WorldView-2 fusion images using PCA and Ehlers fusion algorithms is better than that of PL-1A fusion images applied same algorithms. Wavelet and HIS are worst in five algorithms. Accuracy of urban green space extraction based GS, PCA, Ehlers, and Wavelet fusion images are better than accuracy of multispectral images. In those four fusion algorithms, GS and PCA are best while Ehlers and Wavelet are slightly inferior. From what has been discussed above shows that fusion algorithms can improve the accuracy of green space information extraction obviously. The GS algorithm has best fusion result and good universality in five fusion algorithms.

Key words: urban green space, fusion image, information extraction, accuracy assessment

中图分类号: