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A new smoothness based strategy for semi-supervised atmospheric correction: application to the Léman-Baïkal campaign

Publications associées (33)

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We present a novel method for isogeometric analysis (IGA) to directly work on geometries constructed by Boolean operations including difference (i.e., trimming), union and intersection. Particularly, this work focuses on the union operation, which involves ...

2020

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This paper presents the design, fabrication, and operation of compound micromachines powered by acoustic streaming. The machine components were directly incorporated around pillars serving as shafts without further assembly steps using a single-step in sit ...

IEEE2019

Compound micromachines powered by acoustic streaming

Mahmut Selman Sakar, Furkan Ayhan, Murat Kaynak

IEEE2019

Enhanced MR Image Classification Using Hybrid Statistical and Wavelets Features

Classification of brain tumor is one of the most vital tasks within medical image processing. Classification of images greatly depends on the features extracted from the image, and thus, feature extraction plays a great role in the correct classification o ...

2019

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MATHICSE2019

Multichromatic calibration method and device

Dragos Constantin

A Multichromatic Calibration (MC) method of at least a spectral sensor which is one of a list comprising at least a spectrometer, a multispectral sensor, a hyperspectral sensor, a spectral camera, a color camera. The method comprises a. generating a plural ...

2019

Label-free three-dimensional imaging of Caenorhabditis elegans with visible optical coherence microscopy

Johan Auwerx, Theo Lasser, Laurent Mouchiroud, Paul James Marchand, Arno Pino Bouwens, Vincenzo Sorrentino, Daniel Pawel Szlag, Séverine Coquoz

Fast, label-free, high-resolution, three-dimensional imaging platforms are crucial for high-throughput in vivo time-lapse studies of the anatomy of Caenorhabditis elegans, one of the most commonly used model organisms in biomedical research. Despite the ne ...

Public Library of Science2017

Semisupervised Classification of Remote Sensing Images With Hierarchical Spatial Similarity

Devis Tuia, Zeyu Zhang

A semisupervised kernel deformation function, including spatial similarity, is proposed for the classification of remote sensing (RS) images. The method exploits the characteristic of these images, in which spatially nearby points are likely to belong to t ...

Ieee-Inst Electrical Electronics Engineers Inc2015

Robust image reconstruction from multi-view measurements

Pierre Vandergheynst, Gilles Puy

We propose a novel method to accurately reconstruct a set of images representing a single scene from few linear multi-view measurements. Each observed image is modeled as the sum of a background image and a foreground one. The background image is common to ...

2014

Particle manifold method (PMM): A new continuum-discontinuum numerical model for geomechanics

Liang Sun, Jian Zhao, Gaofeng Zhao

Particle manifold method (PMM) is a new extension of the numerical manifold method (NMM). PMM uses a mathematical cover system to describe the motion and deformation of a particle-based physical domain. By introducing the concept of particle into NMM, PMM ...

Wiley-Blackwell2013