Non-uniform correction method combining spectrum and spatial information for high-spectral data

Abstract

The invention provides a non-uniform correction method combining a spectrum and spatial information for high-spectral data. The non-uniform correction method comprises the following six steps: step 1, the high-spectral data are read in; step 2, edges with non-uniform characteristics in each single-band image are calculated by using edge detection operators; step 3, image segmentation is realized by using the edges with the non-uniform characteristics, which are extracted in the step 2, so as to judge the position of a non-uniform response detector cell; the position of a reference detector cell is determined according to the position of the non-uniform response detector cell, which is obtained in the step 3, and a corresponding spectral dimension ratio is calculated; step 5, the correction coefficient of the non-uniform response detector cell is calculated according to the spectral dimension ratio of the reference detector cell, which is obtained in the step 4; and step 6, a non-uniform response pixel value is updated by using the correction coefficient, thereby realizing non-uniform correction. By adopting the non-uniform correction method, the non-uniform characteristics in the images can be separated more steadily, and a more reliable correction result can be obtained through combining the spectrum and the spatial information, so that the non-uniform correction method has a good practical value and a broad application prospect in the field of spectral image preprocessing.

Description

(1) Technical field [0001] The invention relates to a non-uniform correction method for hyperspectral data combining spectral and spatial information, belongs to the application field of remote sensing technology in engineering science and technology, and is suitable for hyperspectral data preprocessing. (2) Background technology [0002] The hyperspectral imager is a new type of remote sensing payload. Its spectrum is compact and continuous. It can simultaneously record the spectral and spatial information characteristics of the measured ground objects, so that the substances that were impossible to detect in broadband remote sensing can be detected in the hyperspectral image. can be detected by remote sensing. Due to the inhomogeneity of the detector unit (probe) response, or the inhomogeneity of multiple readout circuits in the electronic link, or the uncertainty introduced by radiation calibration, the spatial domain of the data will show inhomogeneity, which makes the i...

AI Technical Summary

Problems solved by technology

Due to the inhomogeneity of the detector unit (probe) response, or the inhomogeneity of multiple readout circuits in the electronic link, or the uncertainty introduced by radiation calibration, the spatial domain of the data will show inhomogeneity, which makes the image data quality Decrease, data application ability weakened

[0003] At present, the non-uniform correction method is mainly based on the assumption that the statistical information of non-uniform detectors and adjacent detectors does not change with the imaging time, and performs a certain operation on the statistical information of non-uniform columns (rows) in the image space domain, so that it is consistent with The statistical information of the reference image matches, but in the case of complex ground objects and uneven image gray distribution, the correction coefficient calculated by this method still includes the contribution of ground object differences, and cannot fully reflect the differences between detectors , after the non-uniform correction is performed on the image according to the correction coefficient, there will be a "banding effect" phenomenon of discontinuous light and dark in the image space domain

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