Search Results for author: José A. Padrón Hidalgo

Found 2 papers, 0 papers with code

Nonlinear Cook distance for Anomalous Change Detection

no code implementations8 Dec 2020 José A. Padrón Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls

In this work we propose a method to find anomalous changes in remote sensing images based on the chronochrome approach.

Change Detection

Efficient Nonlinear RX Anomaly Detectors

no code implementations7 Dec 2020 José A. Padrón Hidalgo, Adrián Pérez-Suay, Fatih Nar, Gustau Camps-Valls

In this letter, we propose two families of techniques to improve the efficiency of the standard kernel Reed-Xiaoli (RX) method for anomaly detection by approximating the kernel function with either {\em data-independent} random Fourier features or {\em data-dependent} basis with the Nystr\"om approach.

Anomaly Detection

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