line_detection_filter

input

output

Optional variant value. Options include 'v' (vertical), 'h' (horizontal), '45', and '135' (default is 'v').

variant

Optional flag indicating whether outputs should be absolute values.

absvals

Optional amount to clip the distribution tails by, in percent.

clip

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

verbose_mode

Performs a line-detection 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>.

line_detection_filter: Line detection filter

Description

Usage

Arguments

Value