Jun 15, 2020 · Step-by-Step Tutorial on Applying Segment Anything Model Version 2 to Satellite Imagery for Detecting and Exporting Field Boundaries in…

Feb 1, 2023 · In this paper, a method of satellite anomaly detection based on Fast-DTW and improved KNN is proposed. Through the analysis of satellite time series, the similarity of …

In this paper, we propose a new robust deep anomaly detec-tion and localization method, targeting splicing manipula-tions inserted in overhead images. Figure 1 shows exam-ples of …

In this work, we propose the dual use of both visual appearance and local-ized motion characteristics, derived from optic flow, ap-plied on a per-region basis to facilitate object-wise …

Mar 30, 2025 · Our framework combines statistical outlier detection (RX) with deep learning (Autoencoder) and even decides when it’s okay to skip deep models entirely. Let me show you …

This paper suggests a data-driven anomaly detection framework, using Deviation Divide Mean over Neighbors (DDMN) to counter fake anomalies from data errors. Long Short-Term Memory …

Jan 1, 2025 · Therefore, we propose a framework of on-orbit satellite hierarchical anomaly detection using causal structure learning (OSHAD-CSL). This framework introduces a graph …

By using the synthesized anoma-lous training samples, we present a novel self-supervised normalizing flow-based density estimation model, which is trained by maximizing the likelihood …

Researches on anomaly detection method of satellite power systems can improve the reliability of normal satellite operations. Fixed top and bottom limitations for telemetry parameters are...

The study’s innovation lies mainly in the design of a unified automatic framework for multi-type anomaly detection from massive raw satellite images based on ANN. Besides, our well …