Výsledky vyhledávání - "Alexandre Baussard"

Akademický článek

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

Autor: Minh-Tan Pham, Luc Courtrai, Chloé Friguet, Sébastien Lefèvre, Alexandre Baussard

Publikováno v: Remote Sensing, Vol 12, Iss 15, p 2501 (2020)

Object detection from aerial and satellite remote sensing images has been an active research topic over the past decade. Thanks to the increase in computational resources and data availability, deep learning-based object detection methods have achiev

Externí odkaz: https://doaj.org/article/c4cf81378e274e659a0285d3a5b35fa1

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Akademický článek

CNN-Based Target Recognition and Identification for Infrared Imaging in Defense Systems

Autor: Antoine d’Acremont, Ronan Fablet, Alexandre Baussard, Guillaume Quin

Publikováno v: Sensors, Vol 19, Iss 9, p 2040 (2019)

Convolutional neural networks (CNNs) have rapidly become the state-of-the-art models for image classification applications. They usually require large groundtruthed datasets for training. Here, we address object identification and recognition in the

Externí odkaz: https://doaj.org/article/7a8d2fae9e8f46ffbf3176f34958aba8

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Sequential sensor selection for the localization of acoustic sources by sparse Bayesian learning

Autor: Milan Courcoux-Caro, Charles Vanwynsberghe, Cédric Herzet, Alexandre Baussard

Publikováno v: Journal of the Acoustical Society of America
Journal of the Acoustical Society of America, 2022, 152 (3), pp.1695-1708. ⟨10.1121/10.0014001⟩

International audience; This paper deals with the design of sensor arrays in the context involving the localization of a few acoustic sources. Sparse approximation is known to be effective to find the source locations, but it depends on different arr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4963da31a8444e2dfbf544350469fd84
https://doi.org/10.1121/10.0014001

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SAR image generation using GANs with azimuth constraints for target classification

Autor: Yann Giry-Fouquet, Cyrille Enderli, Tristan Porges, Alexandre Baussard

Publikováno v: SPIE Security and Defense: Artificial Intelligence and Machine Learning in Defense Applications
SPIE Security and Defense: Artificial Intelligence and Machine Learning in Defense Applications, Sep 2021, Madrid, Spain. ⟨10.1117/12.2599132⟩

International audience; Deep learning has reached excellent results in various applications of computer vision, such as image classification, segmentation or object detection. However, due to the lack of labeled data, it is not always possible to ful

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6dace65be299305290da7e938b515e
https://doi.org/10.1117/12.2599132

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Sequential Sensor Placement using Bayesian Compressed Sensing for Source Localization

Autor: Alexandre Baussard, Charles Vanwynsberghe, Milan Courcoux-Caro, Cédric Herzet

Publikováno v: EUSIPCO 2020-28th European Signal Processing Conference
EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam, Netherlands. pp.241-245, ⟨10.23919/Eusipco47968.2020.9287709⟩
EUSIPCO

International audience; This paper deals with the sensor placement problem for an array designed for source localization. When it involves the identification of a few sources, the compressed sensing framework is known to find directions effectively t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49aea58314cd2aa9b4d47d09581ece3f
https://inria.hal.science/hal-03070390/document

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Faster-RCNN with a compact CNN backbone for target detection in infrared images

Autor: Ronan Fablet, Guillaume Quin, Antoine d'Acremont, Alexandre Baussard

Publikováno v: Proc. SPIE Security+Defense
Proc. SPIE Security+Defense, Sep 2020, Edinburgh, United Kingdom. ⟨10.1117/12.2575756⟩

The main goal of object detection is to localize objects in a given image and assign to each object fits corresponding class label. Performing effective approaches in infrared images is a challenging problem due to the variation of the target signatu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fb64def200b5db6f9246b40e291b7f5
https://hal.archives-ouvertes.fr/hal-02927344

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Estimation of coherent scattering in dynamic random media

Autor: C. J. Roussel, Alexandre Baussard, Arnaud Coatanhay

Publikováno v: Waves in Random and Complex Media
Waves in Random and Complex Media, In press, ⟨10.1080/17455030.2020.1740824⟩
Waves in Random and Complex Media, 2021, 31 (6), pp.2301-2326. ⟨10.1080/17455030.2020.1740824⟩

International audience; We address the question of estimating coherent scattering (weak scattering or coherent scatterer) by a time-evolving random medium. We consider two models of coherent scattering: homodyned K (HK) and generalized K (GK), and in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a34526eb64e1e36c3596a39ce8e6e80
https://hal.archives-ouvertes.fr/hal-02520048

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Detecting unseen targets during inference in infrared imaging

Autor: Antoine d'Acremont, Guillaume Quin, Alexandre Baussard, Thibault Le Du, Ronan Fablet

Publikováno v: SPIE SECURITY DEFENCE 2019
SPIE SECURITY DEFENCE 2019, Sep 2019, Strasbourg, France. ⟨10.1117/12.2533178⟩

Performing reliable target recognition in infrared imagery is a challenging problem due to the variation of the signatures of the targets caused by changes in the environment, the viewpoint or the state of the targets. Due to their state-of-the-art p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63c6a4254342f8c67e53d2911e1be747
https://hal-imt-atlantique.archives-ouvertes.fr/hal-02377429

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Stochastic dynamics of sea clutter for applications to remote sensing

Autor: Arnaud Coatanhay, Alexandre Baussard, C. J. Roussel

Publikováno v: IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE Geoscience and Remote Sensing Society, Jul 2019, Yokohama, Japan. pp.2845-2848, ⟨10.1109/IGARSS.2019.8897752⟩
IGARSS

International audience; The interaction between electromagnetic waves and a dynamic sea surface remains an open problem. We propose to use a model for the sea clutter based on stochastic differential equations, in which the clutter is modelled by sta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2e3d1e57298efc84b1687112761a961
https://hal.archives-ouvertes.fr/hal-02552072

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Seafloor Description in Sonar Images Using the Monogenic Signal and the Intrinsic Dimensionality

Autor: Isabelle Quidu, Laurent Picard, Alexandre Baussard, Gilles Le Chenadec

Publikováno v: IEEE Transactions on Geoscience and Remote Sensing
IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2018, 56 (9), pp. 5572-5587. ⟨10.1109/TGRS.2018.2821189⟩

International audience; In a mine warfare context, the performance of automatic target recognition (ATR) algorithms depends on the environment. Globally, minelike textures and regions with high clutter density increase the false alarm rate. Thus, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f9286dcc889389cdf36ded93bfed06b
https://hal-ensta-bretagne.archives-ouvertes.fr/hal-01834188

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