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Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic

Photogrammetric Engineering and Remote Sensing

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Abstract

The merging of multisensor image data is becoming a widely used procedure because of the complementary nature of various data sets. Ideally, the method used to merge data sets with high-spatial and high-spectral resolution should not distort the spectral characteristics of the high-spectral resolution data. This paper compares the results of three different methods used to merge the information contents of the Landsat Thematic Mapper (TM) and Satellite Pour l'Observation de la Terre (SPOT) panchromatic data. The comparison is based on spectral characteristics and is made using statistical, visual, and graphical analyses of the results. The three methods used to merge the information contents of the Landsat TM and SPOT panchromatic data were the Hue-Intensity-Saturation (HIS), Principal Component Analysis (PCA), and High-Pass Filter (HPF) procedures. The HIS method distorted the spectral characteristics of the data the most. The HPF method distorted the spectral characteristics the least; the distortions were minimal and difficult to detect. -Authors

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic
Series title:
Photogrammetric Engineering and Remote Sensing
Volume
57
Issue:
3
Year Published:
1991
Language:
English
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
Larger Work Title:
Photogrammetric Engineering and Remote Sensing
First page:
295
Last page:
303
Number of Pages:
9