#15 CARS, a satellite multi view stereo pipeline (half day – morning)

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#15 CARS, a satellite multi view stereo pipeline (half day – morning)

CARS, a satellite multi view stereo pipeline (full day)

 

This tutorial presents how to use the Python API of CARS / PANDORA, based on xarray, to realize all the computation steps leading to a Digital Surface Model and also how to use the end-to-end processing chain based on this API that can be performed using Dask (locally or on a cluster which has a GPFS centralized files storage) or multiprocessing libraries to distribute the computations.

 

Learning Objectives:

– Introduce basic principles of photogrammetry in remote sensing

– Describe the python API of CARS, enabling to realize all the computation steps leading to a DSM

– Launch the end-to-end processing chain based on this API using Dask

 

Prerequisites: Participants must know the basic syntax of the Python

 

Material to be Distributed and Special Requirements:

The software involved in this tutorial is open-source:

– GitHub: https://github.com/cnes/cars,

– Docker Hub : https://hub.docker.com/r/cnes/cars                                                             

The practice session of the tutorial will be hosted on cloud based environment (e.g. colab).

A guide will be provided to all participants, including exercises solutions.

Participants should bring their own laptop. An internet connection is required.

 

– A list of the speakers, along with their (i) full names and title (Dr., Pr., etc…), (ii) full affiliation, (iii) pictures, (iv) link to personal websites.

David Youssefi, CNES, https://github.com/dyoussef

Emmanuelle Sarrazin, CNES, https://github.com/esarrazin