lee_filter

input

output

Size of the filter kernel in the x-direction.

filterx

Size of the filter kernel in the y-direction.

filtery

Sigma value should be related to the standarad deviation of the distribution of image speckle noise.

sigma

M-threshold value the minimum allowable number of pixels within the intensity range.

Sets verbose mode. If verbose mode is False, tools will not print output messages.

verbose_mode

Performs a Lee (Sigma) smoothing filter on an image.

An R frontend of the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.

lee_filter: Lee filter

Description

Usage

Arguments

Value