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Hyperspectral image classification method and device based on spatial-spectral dimension filtering

A technology of hyperspectral images and classification methods, which is applied in instruments, character and pattern recognition, scene recognition, etc., can solve the problems of DN value distortion and poor classification accuracy, and achieves suppression of DN value distortion, improvement of classification accuracy, and improvement of banding. effect of noise

Active Publication Date: 2020-06-19
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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Problems solved by technology

[0004] Embodiments of the present invention provide a hyperspectral image classification method and device based on spatial spectral dimension filtering, to at least solve the classification accuracy caused by the DN value distortion caused by the sample edge and irregular surface in the hyperspectral image in the prior art poor technical problem

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Embodiment 1

[0045] According to an embodiment of the present invention, a hyperspectral image classification method based on spatial spectral dimension filtering is provided, see figure 1 , including the following steps:

[0046] S1: collect the hyperspectral image of the sample and the standard reflectance plate, and keep the relative position of the standard reflectance plate and the sample unchanged;

[0047] S2: Use the hyperspectral image data of the standard reflectance plate to perform reflectivity inversion on the hyperspectral image of the sample;

[0048] S3: performing TSG filtering on the hyperspectral image of the sample after reflectance inversion;

[0049] S4: Carry out black and white mask calibration on the hyperspectral image of the sample after TSG filtering, and obtain the label information of the hyperspectral image of the sample;

[0050] S5: Using principal component analysis to reduce the dimensionality of the hyperspectral image of the sample calibrated by the b...

Embodiment 2

[0079] According to another embodiment of the present invention, a hyperspectral image classification device based on spatial spectral dimension filtering is provided, see Figure 4 ,include:

[0080] The acquisition unit 201 is configured to acquire the hyperspectral image of the sample and the standard reflectance plate, and keep the relative position of the standard reflectance plate and the sample unchanged;

[0081] The reflectance inversion unit 202 is used to perform reflectance inversion on the hyperspectral image of the sample using the hyperspectral image data of the standard reflectance plate;

[0082] A filtering unit 203, configured to perform TSG filtering on the hyperspectral image of the sample after reflectance inversion;

[0083] A calibration unit 204, configured to perform black-and-white mask calibration on the hyperspectral image of the sample filtered by the TSG, to obtain label information of the hyperspectral image of the sample;

[0084] The dimensi...

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Abstract

The invention relates to the field of hyperspectral image processing, in particular to a hyperspectral image classification method and device based on space spectral dimension filtering. According tothe method and the device, TSG filtering and black and white mask calibration are carried out on a hyperspectral image of a sample after reflectivity inversion; and constructing a feature set based onthe label information of the hyperspectral image of the sample and the first multiple principal components of the hyperspectral image of the sample, inputting the feature set into a training set to train a support vector machine, and classifying a test set by using the trained support vector machine. According to the method and the device, the hyperspectral image is constructed by combining principal component analysis and a support vector machine algorithm, so that DN value distortion caused by the influence of the three-dimensional form of a sample in the hyperspectral image can be inhibited, meanwhile, the strip noise of the spectral dimension of the image is improved, and the spatial-spectral dimension filtering of the hyperspectral image is realized. According to the method, DN valuedistortion caused by sample edges and irregular surfaces in the hyperspectral images is improved, the classification precision of the images is effectively improved, and the method and device can beapplied to the fields of agriculture, pharmaceutical industry, environmental monitoring and the like.

Description

technical field [0001] The present invention relates to the field of hyperspectral image processing, in particular to a hyperspectral image classification method and device based on spatial spectral dimension filtering. Background technique [0002] Hyperspectral images have target area space and spectral information, and are widely used in agriculture, environmental monitoring, ground object detection and other fields. In the process of hyperspectral image acquisition, due to the influence of the three-dimensional shape of the target sample, the edge of the image and some irregular surfaces will cause uneven illumination to varying degrees, resulting in the distortion of the DN value in the hyperspectral image, and the DN value (Digital Number ) is the brightness value of the pixel in the remote sensing image, and the gray value of the recorded ground object. These distortions will affect the spectral characteristics of the sample points in the image to a certain extent, an...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/40G06K9/62
CPCG06V20/13G06V10/30G06F18/2135G06F18/214
Inventor 谭鑫宁鸿章许亮李耀彬焦庆斌李文昊李宇航许玉兴邹宇博杨琳
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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