[1]翁永玲,田庆久,惠凤鸣.IKONOS高分辨率遥感影像自身融合效果分析[J].东南大学学报(自然科学版),2004,34(2):274-277.[doi:10.3969/j.issn.1001-0505.2004.02.031]
 Weng Yongling,Tian Qingjiu,Hui Fengming.Research on the fusion effects of IKONOS high-resolution remote sensing image[J].Journal of Southeast University (Natural Science Edition),2004,34(2):274-277.[doi:10.3969/j.issn.1001-0505.2004.02.031]
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IKONOS高分辨率遥感影像自身融合效果分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第2期
页码:
274-277
栏目:
测绘与导航
出版日期:
2004-03-20

文章信息/Info

Title:
Research on the fusion effects of IKONOS high-resolution remote sensing image
作者:
翁永玲12 田庆久1 惠凤鸣1
1 南京大学国际地球系统科学研究所,南京 210093; 2 东南大学交通学院,南京 210096
Author(s):
Weng Yongling12 Tian Qingjiu1 Hui Fengming1
1 International Institute for Earth System Science, Nanjing University, Nanjing 210093, China
2 College of Transportation, Southeast University, Nanjing 210096, China
关键词:
遥感 数据融合 IKONOS 高分辨率 分类
Keywords:
remote sensing data fusion IKONOS high-resolution classification
分类号:
P237
DOI:
10.3969/j.issn.1001-0505.2004.02.031
摘要:
采用了HIS,PCA和HPF三种融合方法对IKONOS全色和多光谱影像进行融合.从光谱特征、空间特征及融合前后影像的地物分类精度等方面分析了3种融合结果的质量.分析评价结果表明HPF融合效果最佳.该方法在提高多光谱影像空间分辨率的同时,较好地保留了多光谱影的光谱信息,并能减小阴影的影响.分析结果还表明PCA融合方法对IKONOS数据融合具有不确定性,其融合效果与区域影像特征向量矩阵中第一特征向量有密切的关系.
Abstract:
HIS(hue-intensity-saturation), PCA(principal component analysis), HPF(high pass filtering)are used to fuse IKONOS low-resolution multispectral and high-resolution panchromatic images to achieve both high spatial and spectral resolution in a single image. The three fused images are evaluated both spectrally and spatially, and the influence of image fusion on thematic accuracy of land cover classification is examined. The advantages and degree of improvement in the classification from using fused images are displayed. Analyses show that HPF has the best quality both spectrally and spatially and the shadow of building is reduced. HIS comes second. PCA approach is sensitive for IKONOS image to the choice of area to be analyzed and the fusion effect is related closely with the first eigenvector of the area.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 翁永玲(1962—),女,博士生,讲师, yonglingweng@yahoo.com.cn.
更新日期/Last Update: 2004-03-20