Colorize by Image Point Cloud Task
This Point Cloud task is used to colorize point cloud data (LAS) from a raster layer (typically an orthomosaic). This task will create a new output layer of LAS files and the source files will remain as is.
Feature Geometry - Apply the task to a sketched polygon, a polygon shp file, or by the source LAS file. Input LAS Layer - The source LAS that will be colorized. Can use filters to extract subset of input LAS points. Input Raster Layer - Layer that contains the images that will be used for colorization. LIDAR RGB - Checking this box will add RGB fields to the output LAS files. For a regular colored image result set Red to Red Channel, Green to Green Channel, and Blue to Blue Channel. Setting all channels to the same color bacnd will result in a gray scale image. LIDAR NIR - Checking this box will add an NIR field to the output LAS files. Creating NIR LAS automatically adds RGB fields to the output LAS since the LAS format only supports RGB or RGB+NIR. The image channel selects which image band is used to populate the NIR LAS attribute. Interpolation Method - Selects the algorithm that is used to sample the source image when creating the attribute (R, G, B, NIR) that will be used in the output LAS. The options are: Bicubic, Bilinear, Lanczos4, Nearest Neighbor. LAS Output - Location where LAS output files are placed. Output Structure - Settings allow the output files to be tiled or maintain original input LAS file structure. Units - Set the units used for numerical values. Applies to the output tile size. Note: The output LAS files will always be LAS format 1.4 The Point Data Record Format will be:
Algorithm for Overlapping Orthos - the algorithm chooses the image where the point to be colorized is farthest from the image edge, measured in image pixels. |
Comments
0 comments
Please sign in to leave a comment.