OBJECT-BASED IMAGE FUSION METHOD BASED ON WAVELET AND PCA FOR REMOTE SENSING IMAGERY

被引：0
|
作者：
Gu, H. Y. [1 ]
Li, H. T. [1 ]
Yan, Q. [2 ]
Han, Y. S. [1 ]
机构：
[1] Chinese Acad Surveying & Mapping, Key Lab Geoinformat, State Bur Surveying & Mapping, Beijing 100830, Peoples R China
[2] Chinese Acad Surveying & Mapping, Div Sci & Technol, Beijing 100830, Peoples R China
来源：
GEOBIA 2010: GEOGRAPHIC OBJECT-BASED IMAGE ANALYSIS | 2010年 / 38-4-C7卷
关键词：
Object-based image fusion (OBIF); statistical region merging and minimum heterogeneity rule (SRMMHR); Mallat's; a trous; QUALITY;
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral information. The basic idea is to build a segmented label image by statistical region merging and minimum heterogeneity rule (SRMMHR) segmentation method to guide the object-based image fusion (OBIF). There are three key techniques of the OBIF method including SRMMHR segmentation, Mallat's and a trous wavelet transformation, and fusion rule based on object energy. The results demonstrate that the new OBIF methods based on wavelet and PCA are better comparing with pixel-based image fusion methods such as Mallat's, a trous, Mallat's PCA, a trous PCA.
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页数：8
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