T. Ceillier
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View article: Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection Open
In defense-related remote sensing applications, such as vehicle detection on satellite imagery, supervised learning requires a huge number of labeled examples to reach operational performances. Such data are challenging to obtain as it req…
View article: Ensemble Learning techniques for object detection in high-resolution satellite images
Ensemble Learning techniques for object detection in high-resolution satellite images Open
Ensembling is a method that aims to maximize the detection performance by fusing individual detectors. While rarely mentioned in deep-learning articles applied to remote sensing, ensembling methods have been widely used to achieve high sco…
View article: Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning
Improving performance of aircraft detection in satellite imagery while limiting the labelling effort: Hybrid active learning Open
The earth observation industry provides satellite imagery with high spatial resolution and short revisit time. To allow efficient operational employment of these images, automating certain tasks has become necessary. In the defense domain,…
View article: Case-based reasoning for rare events prediction on strategic sites
Case-based reasoning for rare events prediction on strategic sites Open
Satellite imagery is now widely used in the defense sector for monitoring locations of interest. Although the increasing amount of data enables pattern identification and therefore prediction, carrying this task manually is hardly feasible…
View article: Neural Architecture Search in operational context: a remote sensing case-study
Neural Architecture Search in operational context: a remote sensing case-study Open
Deep learning has become in recent years a cornerstone tool fueling key innovations in the industry, such as autonomous driving. To attain good performances, the neural network architecture used for a given application must be chosen with …
View article: Improving Performance of Aircraft Detection in Satellite Imagery While Limiting the Labelling Effort: Hybrid Active Learning
Improving Performance of Aircraft Detection in Satellite Imagery While Limiting the Labelling Effort: Hybrid Active Learning Open
The earth observation industry provides satellite imagery with high spatial\nresolution and short revisit time. To allow efficient operational employment of\nthese images, automating certain tasks has become necessary. In the defense\ndoma…
View article: Active learning for object detection in high-resolution satellite images
Active learning for object detection in high-resolution satellite images Open
In machine learning, the term active learning regroups techniques that aim at selecting the most useful data to label from a large pool of unlabelled examples. While supervised deep learning techniques have shown to be increasingly efficie…
View article: Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images
Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Images Open
Detecting and identifying objects in satellite images is a very challenging task: objects of interest are often very small and features can be difficult to recognize even using very high resolution imagery. For most applications, this tran…
View article: Constraining stellar physics from red-giant stars in binaries – stellar rotation, mixing processes and stellar activity
Constraining stellar physics from red-giant stars in binaries – stellar rotation, mixing processes and stellar activity Open
The unparalleled photometric data obtained by NASA's Kepler Space Telescope has led to an improved understanding of stellar structure and evolution - in particular for solar-like oscillators in this context. Binary stars are fascinating ob…
View article: Constraining the efficiency of angular momentum transport with asteroseismology of red giants: the effect of stellar mass
Constraining the efficiency of angular momentum transport with asteroseismology of red giants: the effect of stellar mass Open
Context. Constraints on the internal rotation of red giants are now available thanks to asteroseismic observations. Preliminary comparisons with rotating stellar models indicate that an undetermined additional process for the internal tran…
View article: Photospheric and chromospheric magnetic activity of seismic solar analogs
Photospheric and chromospheric magnetic activity of seismic solar analogs Open
\n We identify a set of 18 solar analogs among the seismic sample of solar-like stars observed by the Kepler satellite rotating between 10 and 40 days. This set is constructed using the asteroseismic stellar properties derived using either…
View article: Photospheric and chromospheric magnetic activity of seismic solar analogs. Observational inputs on the solar/stellar connection from Kepler and Hermes
Photospheric and chromospheric magnetic activity of seismic solar analogs. Observational inputs on the solar/stellar connection from Kepler and Hermes Open
We identify a set of 18 solar analogs among the seismic sample of solar-like stars observed by the Kepler satellite rotating between 10 and 40 days. This set is constructed using the asteroseismic stellar properties derived using either th…
View article: Magnetic variability in the young solar analog KIC 10644253
Magnetic variability in the young solar analog KIC 10644253 Open
The continuous photometric observations collected by the Kepler satellite\nover 4 years provide a whelm of data with an unequalled quantity and quality\nfor the study of stellar evolution of more than 200000 stars. Moreover, the\nlength of…
View article: Rotation periods and seismic ages of KOIs – comparison with stars without detected planets from<i>Kepler</i>observations
Rotation periods and seismic ages of KOIs – comparison with stars without detected planets from<i>Kepler</i>observations Open
One of the most difficult properties to derive for stars is their age. For cool main-sequence stars, gyrochronology relations can be used to infer stellar ages from measured rotation periods and Hertzsprung Russell diagram positions. These…
View article: Evidence of angular momentum transport in main-sequence solar-like stars
Evidence of angular momentum transport in main-sequence solar-like stars Open
The rotation rates in the interior and at the surface is determined for the 22 main-sequence stars with masses between 1.0 and 1.6 M ⊙ . The average interior rotation is measured using asteroseismology, while the surface rotation is measur…
View article: Nearly uniform internal rotation of solar-like main-sequence stars revealed by space-based asteroseismology and spectroscopic measurements
Nearly uniform internal rotation of solar-like main-sequence stars revealed by space-based asteroseismology and spectroscopic measurements Open
The rotation rates in the deep interior and at the surface of 22\nmain-sequence stars with masses between $1.0$ and $1.6\\,{\\rm M}_{\\odot}$ are\nconstrained by combining asteroseismological analysis with spectroscopic\nmeasurements. The …
View article: Young α-enriched giant stars in the solar neighbourhood
Young α-enriched giant stars in the solar neighbourhood Open
We derive age constraints for 1639 red giants in the APOKASC sample for which seismic parameters from Kepler, as well as effective temperatures, metallicities and [α/Fe] values from APOGEE DR12 (Apache Point Observatory Galactic Evolution …
View article: Testing the recovery of stellar rotation signals from Kepler light curves using a blind hare-and-hounds exercise
Testing the recovery of stellar rotation signals from Kepler light curves using a blind hare-and-hounds exercise Open
We present the results of a blind exercise to test the recoverability of stellar rotation and differential rotation in Kepler light curves. The simulated light curves lasted 1000 d and included activity cycles, Sun-like butterfly patterns,…
View article: Stellar Rotation in Kepler: Forward Modeling of the Kepler Period Distribution
Stellar Rotation in Kepler: Forward Modeling of the Kepler Period Distribution Open
The Kepler mission has made it possible to detect the signatures of surface rotation in tens of thousands of stars across many different spectral types, ages, and evolutionary states. While it is tempting to use these rotation rates as a m…