Impact of PolSAR Pre-Processing and Balancing Methods on Complex-Valued Neural Networks Segmentation Tasks

Autor: Jose Agustin Barrachina, Chengfang Ren, Christele Morisseau, Gilles Vieillard, Jean-Philippe Ovarlez

Publikováno v: IEEE Open Journal of Signal Processing, Vol 4, Pp 157-166 (2023)

In this article, we investigated the semantic segmentation of Polarimetric Synthetic Aperture Radar (PolSAR) using Complex-Valued Neural Network (CVNN). Although the coherency matrix is more widely used as the input of CVNN, the Pauli vector has rece

Externí odkaz: https://doaj.org/article/07cdcf710d034483b43fdfbea95b026c

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

Autor: C. Morisseau, Jean-Philippe Ovarlez, G. Vieillard, Jose Agustin Barrachina, Chengfang Ren

Publikováno v: 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun 2021, Toronto, Canada
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ICASSP

The contributions of this paper are twofold. First, we show the potential interest of Complex-Valued Neural Network (CVNN) on classification tasks for complex-valued datasets. To highlight this assertion, we investigate an example of complex-valued d

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::699d7959b064d077438ebd553551d0ce
https://hal-centralesupelec.archives-ouvertes.fr/hal-03144092/file/ICASSP2021_non_circularity.pdf