665 citations · 1.3k across the 22 of their papers we have counts for
23 papers
Sea Ice Segmentation From SAR Data by Convolutional Transformer Networks
Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu
Sea ice is a crucial component of the Earth's climate system and is highly sensitive to changes in temperature and atmospheric conditions. Accurate and timely measurement of sea ic…
Explainable, Physics Aware, Trustworthy AI Paradigm Shift for Synthetic Aperture Radar
Mihai Datcu, Zhongling Huang, Andrei Anghel +2
The recognition or understanding of the scenes observed with a SAR system requires a broader range of cues, beyond the spatial context. These encompass but are not limited to: imag…
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
Max Muzeau, Chengfang Ren, Sébastien Angelliaume +2
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns that deviat…
Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval
Nicolae-Cătălin Ristea, Andrei Anghel, Mihai Datcu +1
Spaceborne synthetic aperture radar (SAR) can provide accurate images of the ocean surface roughness day-or-night in nearly all weather conditions, being an unique asset for many g…
Quantum Transfer Learning for Real-World, Small, and High-Dimensional Datasets
Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai Datcu +1
Quantum machine learning (QML) networks promise to have some computational (or quantum) advantage for classifying supervised datasets (e.g., satellite images) over some conventiona…
Coreset of Hyperspectral Images on Small Quantum Computer
Soronzonbold Otgonbaatar, Mihai Datcu, Begüm Demir
Machine Learning (ML) techniques are employed to analyze and process big Remote Sensing (RS) data, and one well-known ML technique is a Support Vector Machine (SVM). An SVM is a qu…