Self-supervised learning based anomaly detection in synthetic aperture radar imaging
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic
Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns …
Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns …
Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery
Remote sensing anomaly detector can find the objects deviating from the background as
potential targets for Earth monitoring. Given the diversity in earth anomaly types, designing a …
potential targets for Earth monitoring. Given the diversity in earth anomaly types, designing a …
Segmenting Remote Sensing Anomalies at Instance-level via Anomaly Map Guided Adaptation
Earth anomalies can locate valuable targets in an unsupervised manner for many defense
and surveillance applications. Most models assign a continuous score at the pixel-level …
and surveillance applications. Most models assign a continuous score at the pixel-level …
A Unified Remote Sensing Anomaly Detector Across Modalities and Scenes via Deviation Relationship Learning
Remote sensing anomaly detector can find the objects deviating from the background as
potential targets. Given the diversity in earth anomaly types, a unified anomaly detector …
potential targets. Given the diversity in earth anomaly types, a unified anomaly detector …
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging
In this paper, we proposed to investigate unsupervised anomaly detection in Synthetic
Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns …
Aperture Radar (SAR) images. Our approach considers anomalies as abnormal patterns …
[PDF][PDF] M2 internship: Anomaly detection schemes in SAR imaging
M2 internship in the SONDRA laboratory at Centralesupelec and at ONERA Starting date:
between January and April 2021 Duration: 5 to 6 months To apply, send a CV and a short …
between January and April 2021 Duration: 5 to 6 months To apply, send a CV and a short …