Datasets:
Tasks:
Image-to-3D
Modalities:
Geospatial
Languages:
English
Size:
100K<n<1M
Tags:
3d-point-cloud
point-cloud-generation
city-scale
remote-sensing
satellite-imagery
digital-surface-model
License:
File size: 6,144 Bytes
e95f494 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Georeference HoliCity (London) LAS tiles into a real-world projected CRS.
Role in the pipeline:
HoliCity point clouds are sampled (via CloudCompare) from FBX meshes in a
local coordinate frame with no spatial reference. This script geo-registers
the four 500x500 m tiles (NW/NE/SW/SE) of a HoliCity block onto the London
map so they line up with satellite imagery before tiling.
Method:
- The WGS84 latitude/longitude of the NW tile's top-left (north-west) corner
is known and hard-coded below (NW_LAT/NW_LON; west longitude is negative).
- That anchor is projected from WGS84 (EPSG:4326) into the target projected
CRS (default EPSG:27700, OSGB36 / British National Grid).
- The remaining tiles are placed by a fixed 500 m east/south offset.
- For each tile, the local top-left corner (minX, maxY) is read from the LAS
header bounding box, and a planar XY translation is computed to move that
corner onto its target projected coordinate.
Inputs:
The four LAS files listed in INPUT_FILES, located in the current directory.
Outputs:
For each input, a translated copy named *_georef.las with the target EPSG
written into its header.
External tools: laspy (LAS I/O), pyproj (CRS transform), numpy.
"""
import os
from pathlib import Path
import laspy
import numpy as np
from pyproj import Transformer
# ==== Parameters to confirm / adjust ====
# Known WGS84 lat/lon of the NW tile's top-left (north-west) corner
NW_LAT = 51.512499
NW_LON = -0.099173 # WGS84 longitude; west of Greenwich is negative
# Real-world size of a single tile (meters)
TILE_SIZE_M = 500.0
# Target projected CRS (British National Grid recommended for London)
TARGET_EPSG = 27700 # OSGB36 / British National Grid
SOURCE_CRS = "EPSG:4326" # NW_LAT/NW_LON are given in WGS84
# The 4 files to process (filenames must distinguish the direction)
INPUT_FILES = [
"TQ3280_NW.las",
"TQ3280NE.las",
"TQ3280SW.las",
"TQ3280SE.las",
]
# Output filename suffix
OUT_SUFFIX = "_georef.las"
# =================================
def read_bbox(path: Path):
with laspy.open(str(path)) as f:
hdr = f.header
mins = np.array(getattr(hdr, "mins", getattr(hdr, "min", (0,0,0))), dtype=float)
maxs = np.array(getattr(hdr, "maxs", getattr(hdr, "max", (0,0,0))), dtype=float)
scales = np.array(hdr.scales)
offsets = np.array(hdr.offsets)
return mins, maxs, scales, offsets
def apply_translation(in_path: Path, out_path: Path, tx: float, ty: float, target_epsg: int):
las = laspy.read(str(in_path))
# Translate (X/Y only; if a Z datum correction is needed, add a Z offset here)
las.x = las.x + tx
las.y = las.y + ty
# Write the EPSG (laspy 2.x: header.epsg)
try:
las.header.epsg = int(target_epsg)
except Exception:
# Some versions may require writing via a VLR; keep the simplest setting here
pass
# Optional: tag generation metadata
try:
las.header.system_identifier = "GeorefByScript"
las.header.generating_software = "laspy_pyproj_georef"
except Exception:
pass
las.write(str(out_path))
def main():
root = Path(".").resolve()
# 1) Project the NW top-left corner (WGS84) into target CRS coords (easting, northing)
transformer = Transformer.from_crs(SOURCE_CRS, f"EPSG:{TARGET_EPSG}", always_xy=True)
# always_xy=True => input order is longitude, latitude (lon, lat)
nw_e, nw_n = transformer.transform(NW_LON, NW_LAT)
# 2) Build the target "top-left" coords for the four directions (top-left = north-west)
# NE: +500m east of NW
# SW: +500m south of NW
# SE: +500m east and +500m south of NW
targets = {
"NW": (nw_e, nw_n),
"NE": (nw_e + TILE_SIZE_M, nw_n),
"SW": (nw_e, nw_n - TILE_SIZE_M),
"SE": (nw_e + TILE_SIZE_M, nw_n - TILE_SIZE_M),
}
# 3) Per file: compute translation from local top-left (minX, maxY) to target top-left
for fname in INPUT_FILES:
in_path = root / fname
if not in_path.exists():
print(f"[SKIP] File not found: {in_path}")
continue
# Determine the direction from the filename
up = fname.upper()
if "NW" in up and "TQ3280NW" in up:
key = "NW"
elif "NE" in up:
key = "NE"
elif "SW" in up:
key = "SW"
elif "SE" in up:
key = "SE"
elif "NW" in up:
# Case where the name contains _NW
key = "NW"
else:
print(f"[WARN] Cannot infer direction from filename; treating as NW: {fname}")
key = "NW"
tgt_e, tgt_n = targets[key]
# Read the local bbox
mins, maxs, scales, offsets = read_bbox(in_path)
minX, minY = float(mins[0]), float(mins[1])
maxX, maxY = float(maxs[0]), float(maxs[1])
# Local top-left corner (north-west) = (minX, maxY)
local_left_top = np.array([minX, maxY], dtype=float)
target_left_top = np.array([tgt_e, tgt_n], dtype=float)
# Translation t = target - local
t = target_left_top - local_left_top
tx, ty = float(t[0]), float(t[1])
# Print diagnostic info
print(f"\n=== {fname} ===")
print(f"Local bbox X:[{minX:.3f}, {maxX:.3f}] Y:[{minY:.3f}, {maxY:.3f}]")
print(f"Local top-left (NW local) = ({local_left_top[0]:.3f}, {local_left_top[1]:.3f})")
print(f"Target top-left (NW target EPSG:{TARGET_EPSG}) = ({target_left_top[0]:.3f}, {target_left_top[1]:.3f})")
print(f"Translation (tx, ty) = ({tx:.3f}, {ty:.3f}) [units: meters, projected coords]")
out_path = in_path.with_name(in_path.stem + OUT_SUFFIX)
apply_translation(in_path, out_path, tx, ty, TARGET_EPSG)
print(f"Written: {out_path.name} (EPSG:{TARGET_EPSG} set)")
print("\nDone. Load *_georef.las into QGIS and set the project CRS to EPSG:%d (or enable on-the-fly reprojection)." % TARGET_EPSG)
if __name__ == "__main__":
main()
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