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A Time-Dimension Compression Method for Hyperspectral Atmospheric Infrared Remote Sensing Images

A technology of remote sensing image and compression method, which is applied in image communication, color/spectral characteristic measurement, electrical components, etc. It can solve the problems of poor image compression effect and failure to consider the relevant characteristics of correlation laws, etc., and achieve good performance and non-destructive The effect of compression

Active Publication Date: 2022-06-07
HARBIN INST OF TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing hyperspectral atmospheric image compression method does not consider that the correlation law between different time slices under the large-scale and complex movement of the atmosphere is different from the correlation characteristics between high frame rate video frames, resulting in poor image compression effect. Good question, while proposing a time-dimensional compression method for hyperspectral atmospheric infrared remote sensing images

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  • A Time-Dimension Compression Method for Hyperspectral Atmospheric Infrared Remote Sensing Images
  • A Time-Dimension Compression Method for Hyperspectral Atmospheric Infrared Remote Sensing Images
  • A Time-Dimension Compression Method for Hyperspectral Atmospheric Infrared Remote Sensing Images

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[0058] The technical solutions and effects of the present invention will be described in detail below with reference to the accompanying drawings.

[0059] In the experiment, the time-dimensional data obtained by the Interferometric Atmospheric Vertical Sounder (GIIRS) carried on the Fengyun-4 geostationary meteorological satellite independently developed by my country was used. The GIIRS infrared atmospheric image covers a total of two spectral bands, ranging from 14.28 to 8.85 μm (700 to 1130 cm -1 ) long wave band and 6.06~4.45μm (1650~2250cm -1 ) in the short and medium wavelength bands with a spectral resolution of 0.625. Different wavelength ranges detect different atmospheric content, and Figure 10 shows the spectral coverage of GIIRS.

[0060] The experimental data selects hyperspectral images of 10 moments in the long-wave band (the data size is 32×4×689, 32×4 is the spatial scale, that is, the number of 128 detectors arranged in 32×4, and 689 is the number of spect...

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Abstract

The invention discloses a time-dimension compression method of hyperspectral atmospheric infrared remote sensing image, which belongs to the technical field of remote sensing image compression. The invention solves the problem that the existing hyperspectral atmospheric image compression method does not take into account that the correlation law between different time slices under the large-scale complex movement of the atmosphere is different from the correlation characteristics between high frame rate video frames, resulting in poor image compression effect. Based on the characteristics of the large correlation between the hyperspectral infrared atmospheric image data detected by the detector at different times on the same scene, a time-dimension compression scheme for hyperspectral infrared atmospheric image based on an online learning prediction model is designed. Through an adaptive online Update the prediction model, establish a prediction model from the reference time slice image at different times to the time slice image at the intermediate time, and update the prediction model parameters in real time according to the online learning theory, so as to realize the image compression of hyperspectral data in multiple time slices, average The compression ratio reaches 9.42. The invention can be applied to the compression of remote sensing images.

Description

technical field [0001] The invention belongs to the technical field of remote sensing image compression, in particular to a time-dimensional compression method for hyperspectral atmospheric infrared remote sensing images. Background technique [0002] In recent years, hyperspectral atmospheric infrared remote sensing images have become one of the main data sources for satellite atmospheric exploration. Several hyperspectral detectors are currently operating in polar orbits. The first hyperspectral atmospheric sounder, AIRS, was launched and operated by the United States in 2002. It has 2,378 channels in the infrared range of 3.7-15.4 μm and a sub-satellite point resolution of 13 km. In 2006, the IASI detector launched by the European Meteorological Satellite Application Organization has a total of 8461 channels in the range of 3.62-15.5μm, and the sub-satellite point resolution is 12km. In 2011, the United States launched a new generation of polar-orbiting meteorological s...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/503H04N19/42H04N19/182H04N19/105G01N21/17G01N21/35
CPCH04N19/503H04N19/42H04N19/182H04N19/105G01N21/17G01N21/35G01N2021/1795G01N2021/1785Y02A90/10
Inventor 陈浩高萌萌陈瑾怡
Owner HARBIN INST OF TECH
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