LasBuildSeg 0.0.8

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

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 Las.write_geotiff('buildings.tif', inverted_building_mask, profile) print('All of our steps are done.')