In this paper, the fractional Fourier transform-based tensor RX (FrFT-TRX) algorithm is proposed for hyperspectral AD. First, the original HSI is transformed ...
A novel fractional Fourier transform and deep belief networks (FDBN)-based anomaly detection (AD) algorithm is proposed in this article.
In this article, an effective alternative approach, fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method, is proposed. First, ...
Missing: Tensor | Show results with:Tensor
Diagram of the proposed FrFT-TRX algorithm. - ResearchGate
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Data C and two-dimensional diagrams of detection results: (a) 100th. Fractional Fourier Transform-Based Tensor RX for Hyperspectral Anomaly Detection.
First, the Fractional Fourier transform is used as a preprocessing step to take the advantage of an intermediate domain to find the features between the ...
Hyperspectral anomaly detection via fractional Fourier transform ... Improved Central Attention Network-Based Tensor RX for Hyperspectral Anomaly Detection.
A hyperspectral anomaly detection algorithm based on the spectral similarity variability feature (SSVF) is proposed.
In this article, an effective alternative approach, fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method, is proposed. First, ...
In this article, an effective alternative approach, fractional Fourier entropy (FrFE)-based hyperspectral anomaly detection method, is proposed. First, ...
Missing: Tensor | Show results with:Tensor
FrHPI: A Discriminative Patch‐Image Model for Hyperspectral Anomaly ...
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Mar 23, 2021 · We propose a new anomaly detector based on the fractional Fourier transform (FrFT) and a modified patch-image model called the hyperspectral patch-image (HPI) ...