Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic
Photogrammetric Engineering and Remote Sensing
By: P.S. Chavez Jr., S.C. Sides, and J.A. Anderson
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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
| 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 |
| Google Analytic Metrics | Metrics page |