CARS: A Photogrammetry Pipeline Using Dask Graphs to Construct A Global 3D Model

Yémélé, David; Michel, Julien; Sarrazin, Emmanuelle; Buffe, Fabrice; Cournet, M.; Delvit, Jean-Marc; L’Helguen, C.; Melet, Olivier; Emilien, Aurélie; Bosman, Julien

doi:10.1109/igarss39084.2020.9324020

Cited by 16 publications

(9 citation statements)

References 13 publications

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“…By analyzing stereo pairs of optical satellite images using photogrammetry (Tateishi et al 1992;Youssefi et al 2020), it is possible to construct large-area DEMs, including the key intertidal zone, with vertical errors less than 0.5 m (Collin et al 2018;Almeida et al 2019;Taveneau et al 2021)-see Fig. 6.…”

Section: Topography-digital Elevation Model (Dem)mentioning

confidence: 99%

Coastal Zone Changes in West Africa: Challenges and Opportunities for Satellite Earth Observations

et al. 2022

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The West African coastal population and ecosystems are increasingly exposed to a multitude of hazards. These are likely to be exacerbated by global climate change and direct impacts from local human activities. Our ability to understand coastal changes has been limited by an incomplete understanding of the processes and the difficulty of obtaining detailed data. Recent advances in satellite techniques have made it possible to obtain rich coastal data sets that provide a solid foundation for improving climate change adaptation strategies for humanity and increasing the resilience of ecosystems for sustainable development. In this article, we review West African coastal layout and current socio-environmental challenges together with key parameters that can be monitored and several coastal management programs that rely on satellite techniques to monitor indicators at the regional level. The social, technical and scientific problems and difficulties that hinder the interest of coastal practitioners and decision-makers to use the satellite data are identified. We provide a roadmap to precisely respond to these difficulties and on how an improved satellite earth observation strategy can better support future coastal zone management in West Africa.

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Section: Topography-digital Elevation Model (Dem)mentioning

confidence: 99%

Coastal Zone Changes in West Africa: Challenges and Opportunities for Satellite Earth Observations

et al. 2022

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“…The second step of the pipeline aims at extracting the Digital Terrain Model (DTM) from the DSM at large scale using a specific module called Bulldozer. This algorithmic module is an improvement of the original method based on 5 https://www.ogc.org/standards/citygml Lidar data [6] to handle photogrammetric DSM and scalability. The idea of the algorithm is to let fall a rigid cloth to cover the inverted surface.…”

Section: Fig 7 3d Pipelinementioning

confidence: 99%

Ai4geo: A Data Intelligence Platform for 3d Geospatial Mapping

Brunet

Lassalle

Baillarin

et al. 2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The availability of 3D Geospatial information is a key issue for many expanding sectors such as autonomous vehicles, business intelligence and urban planning. Its production is now possible thanks to the abundance of available data (Earth observation satellite constellations, insitu data, …) but manual interventions are still needed to guarantee a high level of quality, which prevents mass production. New artificial intelligence and big data technologies adapted to 3D imagery can help to remove these obstacles. The AI4GEO project aims at developing an automatic solution for producing 3D geospatial information and new added-value services. This paper will first introduce AI4GEO initiative, context and overall objectives. It will then present the current status of the project and in particular it will focus on the innovative platform put in place to handle big 3D datasets for analytics needs and it will present the first results of 3D semantic segmentations and associated perspectives.

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“…Dask is a Python parallel-computing tool based on external memory. By dividing a data set into blocks and allocating the amount of calculation according to the number of cores it has, Dask can improve the parallel-computing efficiency of a single machine to a certain extent [9]. However, Dask should manually intervene in data scheduling between clusters.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Organization Method for Large-Scale and Long Time-Series Remote Sensing Data in a Cloud Computing Environment

Yan

Liu

Wang

et al. 2021

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Historical Earth observation (EO) data have played an important role in long-term scientific and environmental monitoring. The effective organization of large-scale and longterm remote-sensing data to achieve efficient retrieval and access has become one of the important issues. However, inherent big data characteristics, such as a large scale, and asymmetrical temporal and spatial distributions, have caused problems with the efficiency of data retrieval and access. Therefore, this study proposes an efficient data organization method for use in a cloudcomputing environment that has two aims. First, it addresses the problem of low retrieval efficiency. An asymmetrical index model for the image metadata is constructed that is based on a unified spatio-temporal grid coding; a pre-partitioning mechanism under the HBase architecture is established to realize the uniform storage of the metadata with an asymmetrical spatiotemporal distribution and to avoid retrieval efficiency bottlenecks caused by a load imbalance. Second, it addresses low access efficiency. By dividing the remote-sensing image into tiles, a unified spatiotemporal code is established for each tile, and a consistent hash operation is performed; tiles with similar hash values are stored in the same or adjacent HDFS (Hadoop Distributed File System) nodes. In this way, tiles with temporal or spatial correlations can be gathered and stored, and lots of disk seeks can be avoided during retrieval, thereby greatly improving the data access efficiency. Comparative experiments showed that the data organization method can effectively improve the retrieval and access efficiencies of large-scale and long time-series remotesensing data in a cloud-computing environment.

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CARS: A Photogrammetry Pipeline Using Dask Graphs to Construct A Global 3D Model

Cited by 16 publications

References 13 publications

Coastal Zone Changes in West Africa: Challenges and Opportunities for Satellite Earth Observations

Coastal Zone Changes in West Africa: Challenges and Opportunities for Satellite Earth Observations

Ai4geo: A Data Intelligence Platform for 3d Geospatial Mapping

An Efficient Organization Method for Large-Scale and Long Time-Series Remote Sensing Data in a Cloud Computing Environment

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