CARS 是一个专用的开源 3D工具，用于通过摄影测量 从卫星成像生成数字表面模型_python_代码_下载

<div align="center"> <a href="https://github.com/CNES/cars"><img src="docs/source/images/picto_transparent.png" alt="CARS" title="CARS" width="20%"></a> <h4>CARS, a satellite multi view stereo pipeline </h4> [](https://www.python.org/downloads/release/python-360/) [](CONTRIBUTING.md) [](https://opensource.org/licenses/Apache-2.0/) [](https://cars.readthedocs.io/?badge=latest) <p> <a href="#overview">Overview</a> • <a href="#quick-start">Quick Start</a> • <a href="#documentation">Documentation</a> • <a href="#contribution">Contribution</a> • <a href="#references">References</a> </p> </div> ## Overview From stereo images | CARS produces a Digital Surface Model (DSM) :-------------------------:|:-------------------------: <img src="docs/source/images/animation_sat.gif" alt="drawing" width="400"/> | <img src="docs/source/images/overview_dsm_3d.gif" alt="drawing" width="400"/> **CARS** is an open source 3D tool dedicated to produce **Digital Surface Models** from satellite imaging by photogrammetry. This Multiview Stereo Pipeline is intended for massive DSM production with a robust and performant design. Be aware that the project is new and is evolving to maturity with CNES usage roadmaps and projects such as: - <a href="https://co3d.cnes.fr/en/co3d-0">CO3D project &nbsp;&nbsp;&nbsp; <img src="docs/source/images/logo_co3D_cnes.jpg" width="20" height="20"/></a> - <a href="https://www.ai4geo.eu/">AI4GEO project &nbsp;&nbsp;&nbsp; </a> ## Quick start ### CARS Docker Image [](https://hub.docker.com/r/cnes/cars) CARS is available on Docker Hub and can be downloaded by: ``` bash docker pull cnes/cars ``` ### Two steps, one DSM You only need to launch two commands: ``` # prepare step docker run -v "$(pwd)"/data:/data cnes/cars prepare -i /data/input.json -o /data/prepare_outdir ``` ``` # compute_dsm step docker run -v "$(pwd)"/data:/data cnes/cars compute_dsm -i /data/prepare_outdir/content.json -o /data/compute_dsm_outdir ``` with one configuration input file ("input.json") located in a "data" folder to be consistent with the previous command lines: ``` { "img1" : "img1.tif", "color1" : "color1.tif", "img2" : "img2.tif", "srtm_dir" : "srtm_dir", "nodata1": 0, "nodata2": 0 } ``` ### On the way to the Pyramids... You want to build the pyramids by yourself? Download our [open licence](https://www.etalab.gouv.fr/licence-ouverte-open-licence) Pleiades [data sample](https://raw.githubusercontent.com/CNES/cars/master/docs/source/demo/data_samples.tar.bz2) to give CARS a try! You're at a dead end? This [quick start script](https://raw.githubusercontent.com/CNES/cars/master/docs/source/demo/quick_start.sh) sets you back on the right path. ## Documentation Go to [CARS Main Documentation](https://cars.readthedocs.io/?badge=latest) See [CARS generation README](docs/README.md) to rebuild documentation. ## Contribution To do a bug report or a contribution, see the [**Contribution Guide**](CONTRIBUTING.md). For project evolution, see [**Changelog**](CHANGELOG.md) ## References - [Youssefi D., Michel, J., Sarrazin, E., Buffe, F., Cournet, M., Delvit, J., L’Helguen, C., Melet, O., Emilien, A., Bosman, J., 2020. Cars: A photogrammetry pipeline using dask graphs to construct a global 3d model. IGARSS - IEEE International Geoscience and Remote Sensing Symposium.](https://ieeexplore.ieee.org/document/9324020) - [Michel, J., Sarrazin, E., Youssefi, D., Cournet, M., Buffe, F., Delvit, J., Emilien, A., Bosman, J., Melet, O., L’Helguen, C., 2020. A new satellite imagery stereo pipeline designed for scalability, robustness and performance. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences.](https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-2-2020/171/2020/)