LIS Tools - a set of versatile tools
This package provides general tools for raster and point cloud processing, including attribute management, spatial clipping as well as subset extraction based on attribute values.
Tool: About LIS
Features |
---|
• retrieve general and license information about the running LIS Pro 3D instance |
Applications |
---|
• product information and licencing |
Tool: Attach Grid Values to Point Cloud
Features |
---|
• attachment of values from grid datasets as attribute(s) to each point |
Applications |
---|
• attachment of additional, raster-based information to a point cloud |
Tool: Attach Point Index as Attribute
Features |
---|
• attachment of the index of each point in the point cloud as attribute |
Applications |
---|
• analysis and storage of the sorting of the points within a point cloud file |
Tool: Clip Point Cloud with Extent
Features |
---|
• extraction of a point cloud subset |
• clipping area is defined by either the extent of a shapes layer or by coordinates |
• several options how to handle points lying on the border of the clipping extent |
Applications |
---|
• extraction of spatial subsets from a point cloud dataset |
• removal of tile overlaps in seamless data processing workflows |
Tool: Clip Point Cloud(s) [interactive]
Features |
---|
• extraction of subsets from one or several point cloud datasets |
• area-of-interest is defined interactively by either dragging a box or by digitizing a polygon |
Applications |
---|
• extraction of spatial subsets from a point cloud dataset |
Tool: Clip Point Cloud(s) with Shapes
Features |
---|
• extraction of subsets from one or several point cloud datasets |
• area-of-interest is defined by either the extent or the polygons of a shapesfile |
• optionally only the selected polygons are processed |
Applications |
---|
• extraction of spatial subsets from a point cloud dataset |
Tool: Close Gaps by Horizontal Plane
Features |
---|
• closing of NoData gaps in a grids dataset by a horizontal plane |
• the elevation of the plane is determined from the boundary cells of the NoData gap |
• optionally an offset can be applied to the plane |
Applications |
---|
• gap filling in DTM datasets (removed buildings or water bodies) |
Tool: Create Point Cloud Attribute
Features |
---|
• create a new point cloud attribute with a default value |
Applications |
---|
• attribute management |
• point cloud editing |
Tool: Drop Point Cloud Attributes
Features |
---|
• deletion of attributes from a point cloud |
Applications |
---|
• removal of attributes, e.g., temporary processing results |
Tool: Extract Subset from Point Cloud
Features |
---|
• extraction of a subset of a point cloud based on attribute values |
• extraction based on a single value, a range of values or value ranges specified in a lookup table |
Applications |
---|
• extraction of point cloud subsets, e.g., all groud points or all points which show an intensity greater than a threshold value |
Tool: Intensity Correction
Features |
---|
• model driven correction of the LiDAR intensity signal |
• correction methods (can be used in combination): atmospheric attenuation, range normalization, topographic influence |
Applications |
---|
• intensity correction (applied to flight strips or scan positions) |
Tool: Invert Normals
Features |
---|
• inversion of point cloud normals |
Applications |
---|
• inverting normal direction |
Tool: Join Attributes
Features |
---|
• joining of attributes from a second point cloud to the input point cloud based on a unique identifier |
• attributes to join can be selected |
Applications |
---|
• attachment of information from one point cloud to another |
Tool: Join Attributes From Table
Features |
---|
• joining of attributes from a table to the input point cloud based on a unique identifier |
• attributes to join can be selected |
• points without matching identifier can be dropped |
Applications |
---|
• attachment of information from a table to a point cloud |
Tool: Join Attributes by NN Search
Features |
---|
• joining of attributes from a second point cloud to the input point cloud based on a nearest neighbor search |
• maximum distance threshold |
• attributes to join can be selected |
Applications |
---|
• attachment of information from one point cloud to another, e.g., classification |
Tool: Map Point Cloud to Scanner
Features |
---|
• mapping of points of a point cloud to scanner positions or trajectories based on GPS time, position identifier, or nearest neighbor search |
• created attributes: direction vector pointing to the scanner position, scanner position, range to scanner, polar angle, azimuthal angle |
Applications |
---|
• attachment of the direction vector to scanner in order to correctly estimate the normal vector orientation |
• attributes for quality-based filtering and accuracy estimation |
Tool: Merge Point Clouds
Features |
---|
• merging of two or more point clouds into a single dataset |
• optionally a unique identifier attribute field can be added |
Applications |
---|
• merging of point clouds from different scan positions or flight strips |
Tool: Orient Normals
Features |
---|
• re-orient normals of a point cloud in a consistent way |
• methods: user-defined reference normal, global normal, normal per cluster, direction to scanner, minimum spanning tree |
Applications |
---|
• correction of normal vectors |
Tool: Reclassify Point Cloud Attribute
Features |
---|
• reclassification of points based on attribute values |
• reclassification based on a single value, a range of values or value ranges specified in a lookup table |
• special options for NoData values and values outside the classification range |
Applications |
---|
• reclassification of point clouds based on attribute values, e.g., merge three vegetation classes into one |
Tool: Remove Overlap from PC Tiles
Features |
---|
• removal of spatial overlap from point cloud tiles |
• bounding boxes of tiles are defined in a polygon shapes layer |
• reading of all files in an input directory and writing of the result to another directory |
Applications |
---|
• removal of spatial overlap from point cloud tiles after processing |
Tool: Retile Point Cloud
Features |
---|
• retiling of a point cloud into several datasets based on a polygon shapes layer |
• tiles are defined by the bounding boxes or by the (irregular) shapes of the polygons |
• output directly to disk, optionally |
Applications |
---|
• spatial retiling of point clouds, e.g., in order to generate smaller tiles for data processing or for use in a virtual point cloud dataset |
Tool: Sort Point Cloud by Attribute
Features |
---|
• sorting of the points of a point cloud based on attribute values |
Applications |
---|
• point cloud sorting, e.g. by gps-time or intensity |
Tool: Split Point Cloud
Features |
---|
• splitting of a point cloud into several datasets based on the values of an attribute field and a user provided interval |
Applications |
---|
• separation of point classes or flight strips |
• tiling based on, e.g., GPS time |