127 citations · 232 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
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…
Guided deep learning by subaperture decomposition: ocean patterns from SAR imagery
Nicolae-Catalin Ristea, Andrei Anghel, Mihai Datcu +1
Spaceborne synthetic aperture radar can provide meters scale images of the ocean surface roughness day or night in nearly all weather conditions. This makes it a unique asset for m…