LasBuildSeg 0.0.10

Building Footrprint Extraction from Aerial LiDAR data

This Python package is BUilding Footprint Extractor Test

This of example of an how you can run your code

import LasBuildSeg as Lasb
import numpy as np
 
import LasBuildSeg as Lasb
import numpy as np

Lasb.generate_dsm('USGS_LPC_IL_HicksDome_FluorsparDistrict_2019_D19_2339_5650.laz', 8734, 1)
Lasb.generate_dtm('USGS_LPC_IL_HicksDome_FluorsparDistrict_2019_D19_2339_5650.laz', 8734, 1)
Lasb.generate_ndhm('dtm.tif', 'dsm.tif')
img, profile = Lasb.read_geotiff('ndhm.tif')
img_8bit = Lasb.to_8bit(img)
constant = 4.6
block_size = 51
img_thresh = Lasb.threshold(img_8bit, block_size, constant)
kernel_size = 3
img_open = Lasb.morphopen(img_thresh, kernel_size)
min_size=35
max_size=5000
building_mask = Lasb.filter_contours(img_open, profile, min_size, max_size)
kernel_size = 3
CloseKernel_size=15
building_mask_closed = Lasb.close(building_mask, CloseKernel_size)
# Invert the building mask to make buildings appear as white ground pixels
inverted_building_mask = np.ones_like(building_mask, dtype=np.uint8) - building_mask_closed
Lasb.write_geotiff('buildings.tif', inverted_building_mask, profile)
print('All of our steps are done.')