- 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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