A spectral image processing method
A spectral image and processing method technology, applied in the field of remote sensing image data processing, can solve problems such as radiometric error and image distortion, and achieve the effect of avoiding radiometric error and image distortion
Active Publication Date: 2017-05-24
BEIHANG UNIV
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[0005] The technical problem to be solved by the present invention is: in order to avoid image distortion caused by different irradiance bases, and irradiance errors introduced by time and environmental changes, to provide a sub-pixel displacement image suitable for different spectral band images The image degradation model of spectral data cube is suitable for various existing spectral image processing methods based on spatial domain super-resolution reconstruction
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[0026] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.
[0027] The spectral image processing method of the present invention is suitable for imaging spectrometers of spectral data cubes with sub-pixel displacement between acquired spectral images, for example, push-broom dispersion imaging spectrometers and filter modulation imaging spectrometers.
[0028] Spectral image processing method of the present invention, flow process is as figure 1 shown, including the following steps:
[0029] Step 1: Use a spectral imager to obtain a spectral data cube with sub-pixel shifts between spectral segments.
[0030] Acquire spectral data cubes with subpixel shifts using pushbroom dispersive imaging spectrometers or filter modulated imaging spectrometers. The sub-pixel displacement of the push-broom dispersive imaging spectrometer is caused by the actual position distortion of the detector pixel, and the sub-pixel di...
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The invention provides a spectrum image processing method and belongs to the technical field of processing of remote sensing image data. According to the spectrum image processing method, a spectroscopic data cube with sub pixel displacement between spectrum sections is obtained through a spectrum imager, the sub pixel displacement between all spectrum section images is obtained, a physical relationship model-image degradation module between narrow-spectrum low-resolution images and wide-spectrum high-resolution images is established, the spectral response coefficient is worked out according to the established image degradation model and the sub pixel displacement, the sub pixel displacement and the spectral response coefficient are substituted into the established image degradation model, super-resolution image reconstruction is conducted based on the image degradation model. By the adoption of the spectrum image processing method, image distortion caused by difference between radiancy bases can be avoided, radiancy errors caused by change of time and the environment can also be avoided, and the spectrum image processing method is suitable for various existing image super-resolution methods based on the spatial domain super-resolution.
Description
technical field [0001] The invention relates to image processing technology and signal processing technology, and belongs to the technical field of remote sensing image data processing, in particular to a push-broom dispersion imaging spectrometer data processing method. Background technique [0002] As one of the remote sensing detection technologies, the imaging spectrometer has the advantage of integrating the map and spectrum. It is carried on the aviation and spacecraft to observe the land, atmosphere and ocean. The scene or target spectral information obtained by the imaging spectrometer has a wide range of application values in the fields of target recognition, feature extraction and precise classification. Because imaging spectrometer needs to obtain two-dimensional geometric information and one-dimensional spectral information of the target scene, it usually needs to sacrifice spatial resolution to ensure high spectral resolution during design, so that the spatial...
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IPC IPC(8): G06T5/00G06T3/40
Inventor 苏丽娟袁艳周树波胡亮
Owner BEIHANG UNIV