期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2000
卷号：XXXIII Part B2
页码：20-27
出版社：Copernicus Publications
摘要：Efficient multi-resolution image fusion aims to take advantage of the high spectral resolution of Landsat TM imagesand high spatial resolution of SPOT panchromatic images simultaneously. This paper presents a multi-resolution datafusion scheme, based on subband image decomposition. Motivated by analytical results obtained from high-resolutionmultispectral image data analysis: the energy packing the spectral features are distributed in the lower frequencysubbands, and the spatial features, edges, are distributed in the higher frequency subbands. This allows to spatiallyenhancing the multispectral images, by adding the high-resolution spatial features (extracted from the higher subbandsof a panchromatic image) to them, in an inverse subband coding procedure. This technique finds application in multispectralimage interpretation, as well as medical images of the same part of body obtained by several different imagingmodalities. In this paper, the low resolution Landsat Thematic Mapper images (with 30-m and 75-m pixel size) arespatially enhanced to the 10-m resolution by fusing them with the 10-m SPOT panchromatic data. This method iscompared with the IHS and PCA and the Brovey transform methods. Results show it preserves more spectral featureswith less spatial distortion
