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S2P is a Python library and command line tool that implements a stereo pipeline which produces elevation models from images taken by high resolution optical satellites such as Pléiades, WorldView, QuickBird, Spot or Ikonos. It generates 3D point clouds and digital surface models from stereo…
The main features of cmla/s2p are: Terrain and 3D Reconstruction, Geospatial Data Tools, Terrain and Elevation, General Geospatial Utilities.
Projects with overlapping indexed features include: jzbontar/mc-cnn — Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches. intelrealsense/librealsense — RealSense SDK. giswqs/lidar — A Python package for delineating nested surface depressions from digital elevation data. earthlab/earthpy — EarthPy makes it easier to plot and manipulate spatial data in Python. geospatialpython/pyshp — The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Python. miss3d/s2p — Warning: this repository is not maintained, please use https://github.com/centreborelli/s2p instead.
The Python Shapefile Library (PyShp) reads and writes ESRI Shapefiles in pure Python.
A Python package for delineating nested surface depressions from digital elevation data.
EarthPy makes it easier to plot and manipulate spatial data in Python.
