Hyperspectral image anomaly detection system based on FPGA (Field Programmable Gata Array)
A hyperspectral image and anomaly detection technology, which is applied in image analysis, image data processing, image data processing, etc., can solve the problem that the computing efficiency of PC cannot meet the real-time requirements, etc., to reduce the risk of research and development, improve the computing performance, and highly The effect of flexibility
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[0024] The present invention will be further described in conjunction with the accompanying drawings.
[0025] Such as figure 1 The flow chart of the RX algorithm is shown. From the principle of the single-window RX algorithm, it can be seen that the algorithm finds abnormal targets by calculating the RX operator value of the data in the local detection window. All abnormal targets in the image can be found by moving the detection window to detect the entire hyperspectral image. Therefore, we can consider that the whole algorithm is calculated in the unit of the window matrix composed of the data in the local detection window.
[0026] According to the spatial size and resolution of the image, set the RX algorithm detection window to Pixel size, the detection window can contain 121 pixels, according to the characteristics of the hyperspectral data, it can be known that the window is (Nband is the number of selected bands) three-dimensional matrix data. According to the c...
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