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Hyperspectral image reconstruction method based on hadamar

A hyperspectral image and hyperspectral imaging technology, which is applied in the field of image compression, can solve the problems that the deterministic measurement matrix is ​​difficult to satisfy the constrained isometric property, and the hardware realizability of the random measurement matrix is ​​poor, so as to achieve the realization of compressed sensing sampling and reconstruction , easy hardware implementation, easy-to-achieve effects

Active Publication Date: 2019-03-08
XIAN AERONAUTICAL UNIV
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Problems solved by technology

[0005] To sum up, the main problems in the existing technology are: 1) The hardware realizability of the random measurement matrix is ​​poor; 2) The deterministic measurement matrix is ​​difficult to satisfy the constraints, etc. distance properties

Method used

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  • Hyperspectral image reconstruction method based on hadamar
  • Hyperspectral image reconstruction method based on hadamar
  • Hyperspectral image reconstruction method based on hadamar

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Embodiment 1

[0036] The invention provides a hyperspectral image reconstruction method based on Hadamard, comprising the following steps:

[0037] Step 1. Utilize the hyperspectral imager to collect hyperspectral images;

[0038] At the sampling end, the total number of bands of the hyperspectral image is J, and the band number is j. Each band image is divided into blocks, and the block size is B, X j Represents the j-th band image, and sets the sampling rate to SR;

[0039] Step 2. Construct the compressed sensing measurement matrix Φ to reconstruct the hyperspectral image;

[0040] Step 2.1. Construct Hadamard matrix H, the dimension of Hadamard matrix H is N=B 2 ×B 2 , Hadamard matrix H is a block diagonal structure, and each element on the diagonal is a block Hadamard matrix H of size B×B B According to the formula (1), the Hadamard matrix H can be constructed:

[0041]

[0042] Step 2.2. Use the idea of ​​linear congruence sorting to get the random permutation operator S N , ...

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Abstract

The invention provides a hyperspectral image reconstruction method based on Hadamard, belonging to the technical field of image compression. The method comprises the steps of collecting a hyperspectral image; constructing a compressed sensing measurement matrix to reconstruct the hyperspectral image. Based on Hadamard matrix, a random permutation operator is designed to obtain a permutation Hadamard matrix, which can be used for compressed sensing sampling and reconstruction of hyperspectral images. The computational complexity of the measurement matrix is lower than that of the stochastic Gaussian matrix, which realizes the fast reconstruction of the hyperspectral image and solves the problem that the hardware of the existing stochastic measurement matrix is poor in realizability and thedeterministic measurement matrix is difficult to satisfy the constrained equidistant property. The measurement matrix element value is simple and easy to realize in the optical domain, and it can be stored in the block mode, which requires low storage space, high sampling efficiency, low computational complexity of reconstruction, and can meet the real-time needs of hyperspectral image compressionand sensing processing.

Description

technical field [0001] The invention belongs to the technical field of image compression, and in particular relates to a Hadamard-based hyperspectral image reconstruction method. Background technique [0002] Hyperspectral images not only contain the spatial distribution information of the observed target, but also each pixel in the image has dozens or even hundreds of narrow bands of rich spectral information, which has the property of "integrating graphs and spectra into one". Since hyperspectral images can combine spectral features reflecting material properties with image information presenting material geometric space information, it has greatly improved the ability of human beings to recognize the objective world, and has been widely used in remote sensing, military, agriculture, medicine and other fields. It is proved to have great application value. [0003] Due to the high spatial and spectral resolution of hyperspectral images, it contains very rich detail informa...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T9/00
CPCG06T9/00
Inventor 王丽王威
Owner XIAN AERONAUTICAL UNIV
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