Decorrelation stretching is an image enhancement technique used to improve color contrast in multispectral remote sensing images. It reduces the correlation between image bands and spreads out (stretches) their color values so that features become easier to see.
It is mainly used to enhance true-color or false-color composite images.
Why Is It Needed?
Remote sensing bands often have strong correlations.
For example:
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Red and NIR bands both reflect strongly from vegetation
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Visible bands (R, G, B) reflect similarly from many surfaces
Because of this correlation:
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Images look dull, low-contrast, or washed-out
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Important features become hard to distinguish
Decorrelation stretching solves this by reducing band-to-band correlation and enhancing color differences.
How Decorrelation Stretching Works
1. Identify the Correlation Between Bands
Multispectral bands often show similar brightness patterns.
This makes the composite image look flat.
2. Transform to a New Coordinate Space
Using a statistical method like Principal Component Analysis (PCA), the data is rotated to reduce correlation.
This step:
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Separates mixed color information
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Produces independent principal components
3. Stretch the Data (Increase Contrast)
Each principal component is stretched using a contrast enhancement method:
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linear stretch
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standard deviation stretch
This makes color differences more visible.
4. Transform Back to Original Color Space
After stretching, the data is rotated back to the original R–G–B space.
Result:
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Colors are more vibrant
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Features become clearer
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Objects with slight spectral differences appear strongly different
| Before Decorrelation Stretching | After Decorrelation Stretching |
|---|---|
| Dull color composite | Bright, colorful composite |
| Bands highly correlated | Bands decorrelated |
| Less visible features | Enhanced feature separation |
| Washed-out colors | Natural-looking sharp colors |
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Band correlation: How similar two bands are in brightness.
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Stretching: Expanding pixel value ranges to increase contrast.
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PCA (Principal Component Analysis): Statistical method to reduce correlation.
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Color enhancement: Improvement of visible color separation.
Decorrelation stretching is an image enhancement technique that reduces correlation between spectral bands and stretches their color values to improve visual contrast. It is commonly used for multispectral images to highlight subtle color differences and improve feature detection.
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