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:
| #!/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() | |