Version: [3297] SciPy Filters 0.3 Experimental

- New: Principal Component Analysis (PCA)
- Advanced option to change the dtype of the output 
- For filters where negative values are expected in the output, use
float32 as default output dtype (instead of dtype of input layer) to
avoid clipping and overflow errors 
- Convolve: normalize with sum of absolute values of kernel as
default, not simply the sum
- Unsharp mask: Avoid overflow error by calculating in float64
- Use sizes widget in more filters
- More load options for kernel/structure/footprint
- New origin widget and add origin as parameter to a couple of
filters
- New set of filters for pixel statistics (std, mean, min ... for all
bands of individual pixels)

yes

riannek

2024-03-23T09:45:40.432231+00:00

3.22.0

3.99.0

None

yes

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