The assessment of multi-sensor image fusion using wavelet transforms for mapping the Brazilian Savanna

被引：69

作者：

Acerbi-Junior, F. W.

Clevers, J. G. P. W.

Schaepman, M. E.

机构：

[1] Univ Wageningen & Res Ctr, CGI, NL-6700 AA Wageningen, Netherlands

[2] Univ Fed Lavras, Dept Forest Sci, BR-37200000 Lavras, MG, Brazil

来源：

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION | 2006年 / 8卷 / 04期

关键词：

multi-sensor image fusion; wavelet transforms; quality assessments; Brazilian Savanna;

D O I：

10.1016/j.jag.2006.01.001

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

Multi-sensor image fusion using the wavelet approach provides a conceptual framework for the improvement of the spatial resolution with minimal distortion of the spectral content of the source image. This paper assesses whether images with a large ratio of spatial resolution can be fused, and evaluates the potential of using such fused images for mapping the Brazilian Savanna. Three types of wavelet transforms were used to perform the fusion between MODIS and Landsat TM images. Five quality measures were defined to assess the quality of the fused images. The results showed that it was possible to perform the fusion of MODIS and TM images and the pyramidal in Fourier space wavelet transform provided the best quality measures for the fused images. Classification results showed that fused images could be used for mapping the Brazilian Savanna with an accuracy level comparable to the Landsat TM image. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：278 / 288

页数：11

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