In this article, a new algorithm detecting particles and aggregates on the surface of a burning solid propellant containing inert particles is presented. Shadowgraphy images are captured using a setup at ONERA. Four propellants containing particles of different sizes are used. Detecting the surface being well studied, the method rather focuses on d...
La compréhension de scènes vise à répondre à la question : comment construire un modèle d'une région du monde réel afin d'y agir et d'y interagir ? Il s'agit donc d'extraire la sémantique et la géométrie des données disponibles~: images, nuages de points 3D, etc. Dans ce but, plusieurs approches d'apprentissage machine sont présentées : elles diffè...
Shadowgraphy is good technique to image aluminum combustion for small solid-propellant samples. But classical detection methods struggle to provide accurate data on aluminum droplets with such different aspects. A new semantic-segmentation approach is tested using deep learning to classify every image pixel over various classes. The UNET network wa...
The combustion of aluminum particles is a key factor for rocket motor propulsion in terms of performance and stability. Numerical simulations is a tool enabling complex instabilities study, but input data for the two-phase models in use have an important influence on simulation results. An experimental method is used at ONERA to characterize alumin...
In this paper, the scientific outcomes of the 2016 Data Fusion Contest organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society are discussed. The 2016 Contest was an open topic competition based on a multitemporal and multimodal dataset, which included a temporal pair of very high resolu...
Since 2006, the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) organizes a yearly Data Fusion Contest that aims to promote the use of new remote sensing data sources and stimulating new methodological developments.
Presents information on the 2017 IEEE Geoscience and Remote Sensing Society Data Fusion Contest.
Automated scene understanding or interpretation is a fundamental problem of computer vision. Its goal is to compute a formal description of the content and events that can be observed in images or videos and distribute it to artificial or human agents for further exploitation or storage. Over the last decade, tremendous progress has been made in th...
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