ONERA

∙ Palaiseau , France ∙ 0 followers

Orients and conducts research in the aerospace field. The 8 locations in the country. Châtillon, Hauts-de-Seine (92). France.

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

In recent years, deep learning techniques revolutionized the way remote ...
04/24/2019 ∙ by Nicolas Audebert, et al. ∙ 8 ∙ share

read it
Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

In this work, we investigate various methods to deal with semantic label...
11/23/2017 ∙ by Nicolas Audebert, et al. ∙ 0 ∙ share

read it
Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)

In this work, we present a novel module to perform fusion of heterogeneo...
01/20/2017 ∙ by Nicolas Audebert, et al. ∙ 0 ∙ share

read it
Generating Visual Representations for Zero-Shot Classification

This paper addresses the task of learning an image clas-sifier when some...
08/23/2017 ∙ by Maxime Bucher, et al. ∙ 0 ∙ share

read it
Adaptive imputation of missing values for incomplete pattern classification

In classification of incomplete pattern, the missing values can either p...
02/08/2016 ∙ by Zhun-Ga Liu, et al. ∙ 0 ∙ share

read it
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Parameter tuning is recognized today as a crucial ingredient when tackli...
05/10/2013 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

read it
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches

Most real-world Planning problems are multi-objective, trying to minimiz...
05/06/2013 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

read it
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark

All standard AI planners to-date can only handle a single objective, and...
12/20/2012 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

read it
A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

Mountain river torrents and snow avalanches generate human and material ...
05/06/2010 ∙ by Jean-Marc Tacnet, et al. ∙ 0 ∙ share

read it
General combination rules for qualitative and quantitative beliefs

Martin and Osswald Martin07 have recently proposed many generalizations ...
06/28/2009 ∙ by Arnaud Martin, et al. ∙ 0 ∙ share

read it
Sparse and Low-Rank Decomposition for Automatic Target Detection in Hyperspectral Imagery

Given a target prior information, our goal is to propose a method for au...
11/24/2017 ∙ by Ahmad W. Bitar, et al. ∙ 0 ∙ share

read it
Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty

At the initial design stage engineers often rely on low-fidelity models ...
04/18/2019 ∙ by Nathaniel B. Price, et al. ∙ 0 ∙ share

read it
Bayesian Optimization using Deep Gaussian Processes

Bayesian Optimization using Gaussian Processes is a popular approach to ...
05/07/2019 ∙ by Ali Hebbal, et al. ∙ 0 ∙ share

read it
Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle

In this paper we address the problem of dot painting on a wall by a quad...
06/15/2019 ∙ by Thomas Chaffre, et al. ∙ 0 ∙ share

read it
Hyperspectral pansharpening: a review

Pansharpening aims at fusing a panchromatic image with a multispectral o...
04/17/2015 ∙ by Laetitia Loncan, et al. ∙ 0 ∙ share

read it
Fixed Points of the Set-Based Bellman Operator

Motivated by uncertain parameters encountered in Markov decision process...
01/13/2020 ∙ by Sarah H. Q. Li, et al. ∙ 0 ∙ share

read it
Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games

Motivated by uncertain parameters encountered in Markov decision process...
01/22/2020 ∙ by Sarah H. Q. Li, et al. ∙ 0 ∙ share

read it
Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method

In this paper, we present an extension to an air traffic conflicts resol...
01/30/2020 ∙ by Thomas Chaboud, et al. ∙ 0 ∙ share

read it
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos

Summarizing video content is an important task in many applications. Thi...
04/15/2020 ∙ by Guillaume Vaudaux-Ruth, et al. ∙ 0 ∙ share

read it
Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation

Transferring learning-based models to the real world remains one of the ...
04/30/2020 ∙ by Thomas Chaffre, et al. ∙ 0 ∙ share

read it
Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods

Several nonlinear model reduction techniques are compared for the three ...
05/06/2020 ∙ by Denis Sipp, et al. ∙ 0 ∙ share

read it
Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus

Time-Sensitive Networking (TSN) is a set of amendments that extend Ether...
05/17/2020 ∙ by Luxi Zhao, et al. ∙ 0 ∙ share

read it
An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design

The multi-level, multi-disciplinary and multi-fidelity optimization fram...
06/12/2020 ∙ by Rémy Priem, et al. ∙ 0 ∙ share

read it
STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation

We present a new lightweight CNN-based algorithm for multi-frame optical...
07/10/2020 ∙ by Pierre Godet, et al. ∙ 0 ∙ share

read it
OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications

Many applications of Visual SLAM, such as augmented reality, virtual rea...
02/08/2021 ∙ by Maxime Ferrera, et al. ∙ 0 ∙ share

read it

ONERA

Featured Researchers

Bertrand Le Saux

Maxime Bucher

Julien Moras

Adrien Chan-Hon-Tong

Jean Dezert

Mathieu Balesdent

Jean-Philippe Ovarlez

Loic Brevault

Stéphane Herbin

Vincent Vidal

Sylvain Bertrand

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks

Fusion of Heterogeneous Data in Convolutional Networks for Urban Semantic Labeling (Invited Paper)

Generating Visual Representations for Zero-Shot Classification

Adaptive imputation of missing values for incomplete pattern classification

Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches

Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark

A two-step fusion process for multi-criteria decision applied to natural hazards in mountains

General combination rules for qualitative and quantitative beliefs

Sparse and Low-Rank Decomposition for Automatic Target Detection in Hyperspectral Imagery

Safety-margin-based design and redesign considering mixed epistemic model uncertainty and aleatory parameter uncertainty

Bayesian Optimization using Deep Gaussian Processes

Exploiting Physical Contacts for Robustness Improvement of a Dot-Painting Mission by a Micro Air Vehicle

Hyperspectral pansharpening: a review

Fixed Points of the Set-Based Bellman Operator

Bounding Fixed Points of Set-Based Bellman Operator and Nash Equilibria of Stochastic Games

Tackling Air Traffic Conflicts as a Weighted CSP : Experiments with the Lumberjack Method

ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos

Sim-to-Real Transfer with Incremental Environment Complexity for Reinforcement Learning of Depth-Based Robot Navigation

Nonlinear model reduction: a comparison between POD-Galerkin and POD-DEIM methods

Latency Analysis of Multiple Classes of AVB Traffic in TSN with Standard Credit Behavior using Network Calculus

An efficient application of Bayesian optimization to an industrial MDO framework for aircraft design

STaRFlow: A SpatioTemporal Recurrent Cell for Lightweight Multi-Frame Optical Flow Estimation

OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time Applications