Search Results for author: Jean-Philippe Ovarlez

Found 10 papers, 6 papers with code

SAFE: a SAR Feature Extractor based on self-supervised learning and masked Siamese ViTs

1 code implementation30 Jun 2024 Max Muzeau, Joana Frontera-Pons, Chengfang Ren, Jean-Philippe Ovarlez

Comprehensive evaluations on various downstream tasks, including few-shot classification, segmentation, visualization, and pattern detection, demonstrate the effectiveness and versatility of the proposed approach.

Change Detection Contrastive Learning +4

Theory and Implementation of Complex-Valued Neural Networks

2 code implementations16 Feb 2023 Jose Agustin Barrachina, Chengfang Ren, Gilles Vieillard, Christele Morisseau, Jean-Philippe Ovarlez

This work explains in detail the theory behind Complex-Valued Neural Network (CVNN), including Wirtinger calculus, complex backpropagation, and basic modules such as complex layers, complex activation functions, or complex weight initialization.

Impact of PolSAR pre-processing and balancing methods on complex-valued neural networks segmentation tasks

1 code implementation28 Oct 2022 José Agustin Barrachina, Chengfang Ren, Christèle Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez

In this paper, we investigated the semantic segmentation of Polarimetric Synthetic Aperture Radar (PolSAR) using Complex-Valued Neural Network (CVNN).

Semantic Segmentation valid

Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging

no code implementations28 Oct 2022 Max Muzeau, Chengfang Ren, Sébastien Angelliaume, Mihai Datcu, Jean-Philippe Ovarlez

Experiments are performed to show the advantages of our method compared to the conventional Reed-Xiaoli algorithm, highlighting the importance of an efficient despeckling pre-processing step.

Change Detection Deep Learning +1

Complex-Valued vs. Real-Valued Neural Networks for Classification Perspectives: An Example on Non-Circular Data

1 code implementation17 Sep 2020 Jose Agustin Barrachina, Chenfang Ren, Christele Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez

First, we show the potential interest of Complex-Valued Neural Network (CVNN) on classification tasks for complex-valued datasets.

Automatic Target Detection for Sparse Hyperspectral Images

no code implementations14 Apr 2019 Ahmad W. Bitar, Jean-Philippe Ovarlez, Loong-Fah Cheong, Ali Chehab

The sparse component is directly used for the detection, that is, the targets are simply detected at the non-zero entries of the sparse target HSI.

Target And Background Separation in Hyperspectral Imagery for Automatic Target Detection

no code implementations16 Aug 2018 Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

In this paper, we propose a method for separating known targets of interests from the background in hyperspectral imagery.

Image and Video Processing Signal Processing

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

no code implementations24 Nov 2017 Ahmad W. Bitar, Loong-Fah Cheong, Jean-Philippe Ovarlez

Given a target prior information, our goal is to propose a method for automatically separating targets of interests from the background in hyperspectral imagery.

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