Method and device for processing hyperspectral image
A technology of hyperspectral image and processing method, which is applied in the field of hyperspectral image processing method and device, can solve the problems of affecting positioning accuracy and high false alarm rate of detection results, and achieve the effect of improving positioning accuracy and reducing false alarm rate
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Embodiment 1
[0048] Such as figure 1 As shown, the present embodiment provides a hyperspectral image processing method, which can be implemented by a high-spectrum image processing device, and the method includes:
[0049] 11. Determine the hyperspectral image to be processed.
[0050] 12. Extract abnormal targets from hyperspectral images to be processed.
[0051] 13. Separating and processing abnormal targets to obtain abnormal detection results.
[0052] In the hyperspectral image processing method of this embodiment, by determining the hyperspectral image to be processed, extracting the abnormal target from the hyperspectral image to be processed, separating and processing the abnormal target, and obtaining the abnormal detection result. In this way, the abnormal target is extracted from the hyperspectral image, and the abnormal target is separated and processed to obtain the abnormal detection result, which can reduce the false alarm rate and improve the positioning accuracy.
Embodiment 2
[0054] Such as figure 2As shown, the present embodiment provides a hyperspectral image processing method, which can be implemented by a high-spectrum image processing device, and the method includes:
[0055] 21. Obtain hyperspectral images.
[0056] In this embodiment, the hyperspectral image acquired by the high-light general image processing device may be a hyperspectral image input to the high-light general image processing device.
[0057] 22. After removing the error spectrum segment from the acquired hyperspectral image, select the data cube to be detected composed of the target band image to obtain the hyperspectral image to be processed.
[0058] In this embodiment, the hyperspectral image processing device can remove error spectrum segments from acquired hyperspectral images according to user operations, and can also perform the operation of removing error spectrum segments from acquired hyperspectral images autonomously, which is not done in this embodiment. limi...
Embodiment 3
[0072] Such as Figure 8 As shown, this embodiment provides a hyperspectral image processing device, including:
[0073] Determining module 81, for determining the hyperspectral image to be processed;
[0074] An extraction module 82, configured to extract abnormal targets from the hyperspectral image to be processed;
[0075] The processing module 83 is configured to separate and process the abnormal object to obtain an abnormal detection result.
[0076] Optionally, the extraction module 82 is specifically used for:
[0077] According to δ rxd (r)=(r-μ b ) T K -1 (r-μ b ) to extract abnormal targets from the hyperspectral image to be processed, where δ rxd (r) is the RXD detection operator, r is the spectral vector of any pixel in the hyperspectral image, is the spectral covariance matrix of hyperspectral image samples, is the hyperspectral image sample mean vector;
[0078] If δ rxd The value of (r) is less than the preset threshold and corresponds to the smal...
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