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https://github.com/visr/LibLAS.jl
Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format.
https://github.com/visr/LibLAS.jl
io julia las laz lidar point-cloud
Last synced: about 1 month ago
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Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format.
- Host: GitHub
- URL: https://github.com/visr/LibLAS.jl
- Owner: visr
- License: other
- Archived: true
- Created: 2015-05-10T14:51:09.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2018-11-08T17:24:14.000Z (over 5 years ago)
- Last Synced: 2024-05-01T14:43:53.444Z (2 months ago)
- Topics: io, julia, las, laz, lidar, point-cloud
- Language: Julia
- Size: 4.4 MB
- Stars: 3
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Lists
- Awesome-Geospatial - LibLAS.jl - Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format. (Julia)
- awesome-gis - LibLAS.jl - Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format. (Geospatial Library / Julia)
- awesome-gis - LibLAS.jl - Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format. (Geospatial Library / Julia)
- awesome-geospatial - LibLAS.jl - Julia wrapper for LibLAS, a library for reading and writing the LAS LiDAR format. (Julia)
README
# LibLAS
Julia wrapper for [LibLAS](http://www.liblas.org/), a library for reading and writing the LAS LiDAR format.
Note: Like LibLAS itself, this project is currently in hibernation or maintenance mode. For reading and writing LAS files in pure Julia, have a look at [`LasIO.jl`](https://github.com/visr/LasIO.jl/).
[](https://travis-ci.org/visr/LibLAS.jl)
## Install
```julia
pkg> add https://github.com/visr/LibLAS.jl
```
You need to have the liblas_c shared library in your path, this is currently not added to the package.
See the [LibLAS website](http://www.liblas.org/download.html) for how to obtain it.
## Use
```julia
using LibLAS
# testfile downloaded from http://www.liblas.org/samples/
filename = joinpath(dirname(pathof(LibLAS)), "..", "test", "libLAS_1.2.las")
reader = LibLAS.create(LibLAS.LASReader, filename)
header = LibLAS.lasheader(reader)
n = LibLAS.pointrecordscount(header)
bounds = [LibLAS.min_x(header), LibLAS.min_y(header), LibLAS.min_z(header),
LibLAS.max_x(header), LibLAS.max_y(header), LibLAS.max_z(header)]
function mean_coordinates(header, reader)
n = LibLAS.pointrecordscount(header)
x_sum = 0.0
y_sum = 0.0
z_sum = 0.0
# looping over all points
for i = 1:n
p = LibLAS.nextpoint(reader)
x = LibLAS.xcoord(p)
y = LibLAS.ycoord(p)
z = LibLAS.zcoord(p)
x_sum += x
y_sum += y
z_sum += z
end
x_avg = x_sum / n
y_avg = y_sum / n
z_avg = z_sum / n
x_avg, y_avg, z_avg
end
x_avg, y_avg, z_avg = mean_coordinates(header, reader)
# jumping to a specific point
p = LibLAS.point_at(reader, 101)
intens = LibLAS.intensity(p)
```
For more documentation on specific functions see the [LibLAS C API reference](http://www.liblas.org/doxygen/liblas_8h.html).
Function names are adapted to follow Julian naming conventions. They have not all been tested. Please open an issue/PR if you find any mistakes.