The LASer format is an exchange format for three-dimensional point clouds. It uses the
LASer LiDAR files also come in a compressed variant, called LASzip. In that case, they have the
The specifications are maintained by the ASPRS foundation. See http://www.asprs.org/Committee-General/LASer-LAS-File-Format-Exchange-Activities.html for more information about the specifications.
The LASer format is a binary format roughly consisting of three parts:
A header, describing the number of points, the size of the point records and so on.
Various variable-length records. These records can contain the spatial reference, but can also contain vendor-specific data.
The point data, as a linear list of records. Each point has a location and various attributes.
You can decode
.laz files using
TLcdLASModelDecoder, as shown in Program: Using
TLcdLASModelDecoder to decode a point cloud from a
TLcdLASModelDecoderto decode a point cloud from a
TLcdLASModelDecoder lasDecoder = new TLcdLASModelDecoder(); ILcdModel lasModel = lasDecoder.decode("file.las");
The decoder produces a model that contains unspecified elements, and that can only be used for visualization.
The points themselves are lazily loaded when this object is accessed by a painter. As such, the bulk of the work is not done
decode() method, but at a later stage.
TLcdLASModelDescriptor contains most of the
.las header information, as well as
all the variable-length records from the file.
TLcdLASModelDescriptor also has a data type. You can use its properties to style the LIDAR data with
ILcdExpression instances in
For more information about LIDAR data styling with
How to customize the styling of a LIDAR point cloud.
.las file can contain spatial reference information in a variable-length record.
If that is the case, the model decoder will use it to set its spatial reference.
If the file does not contain a spatial reference, the model decoder will use its model reference decoder to determine the
Consult the class javadoc of
TLcdLASModelDecoder for more information.
LIDAR scans typically contain a large amount of points. LuciadLightspeed allows you to reduce the amount of information decoded from the file.
If you know up front of points that you do not want to visualize, you can filter them out while decoding. To filter points
out, use an
ILcdFilter that you can set on the model decoder through
The filter will be called with an
ILcdDataObject, so you can use its properties for filtering.
If you want to load a file that is just too big, but you still want to see something, you can use
setMaximumNumberOfPoints() to set a maximum number of points to decode.
The decoder will decode at most this number of points, taken randomly from the whole file. As such, you see a lower-resolution
version of the data.