Hyperspectral endmember extraction method and device based on multi-objective differential evolution of sorting multiple variations

A differential evolution algorithm and endmember extraction technology, applied in the field of remote sensing image processing, can solve problems such as poor endmember extraction effect.

Pending Publication Date: 2020-10-20
WUHAN UNIV
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Problems solved by technology

[0008] The present invention proposes a method and device for extracting hyperspectral endmembers based on multi-objective differential evolution based on sorting multi-variation, which is used to solve or at least partly solve the technical problem of poor endmember extraction effect existing in the methods in the prior art

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  • Hyperspectral endmember extraction method and device based on multi-objective differential evolution of sorting multiple variations
  • Hyperspectral endmember extraction method and device based on multi-objective differential evolution of sorting multiple variations
  • Hyperspectral endmember extraction method and device based on multi-objective differential evolution of sorting multiple variations

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Embodiment 1

[0065] This embodiment provides a hyperspectral endmember extraction method based on multi-objective differential evolution of sorting multi-variation, which converts the problem of hyperspectral end-member extraction into a multi-objective optimization problem, Differential evolution algorithm to balance the conflicts between multiple objectives, see figure 1 , the method specifically includes:

[0066] S1: Randomly initialize the population by integer coding, where the individual in the population is an end member candidate solution of the hyperspectral image;

[0067] S2: Using the multi-variation strategy operation to generate a mutation vector through the scaling factor parameter pool, where the mutation vector is used to increase the diversity of hyperspectral image endmembers;

[0068] S3: For the individual and variation vector in the population, use the binomial crossover operation to generate the test vector through the crossover control parameter pool, where the te...

Embodiment 2

[0114] Based on the same inventive concept, the second aspect of the present invention provides a hyperspectral endmember extraction device based on multi-objective differential evolution based on sorting multi-variation, which converts the problem of hyperspectral endmember extraction into a multi-objective optimization problem. The (μ+λ) multi-objective differential evolution algorithm to balance the conflict between multiple objectives, the device includes:

[0115] The population initialization module 201 is used to randomly initialize the population through integer coding, wherein the individual in the population is an end member candidate solution of the hyperspectral image;

[0116] The sorting multi-variation module 202 is used to use the multi-variation strategy operation to generate a mutation vector through the scaling factor parameter pool, wherein the mutation vector is used to increase the diversity of hyperspectral image endmembers;

[0117] The binomial crossov...

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Abstract

The invention discloses a hyperspectral endmember extraction method and a hyperspectral endmember extraction device based on multi-objective differential evolution of sorting multiple variations. According to the method, a hyperspectral end member extraction problem is converted into a multi-objective optimization problem; conflict among multiple targets is balanced through a sorting multi-variation (mu + lambda) multi-target differential evolution algorithm; the method specifically comprises the following steps: randomly initializing a population through integer coding; generating a variationvector through a scaling factor parameter pool by adopting a multi-variation strategy operation; adopting a binomial crossover operation to generate a test vector through a crossover control parameter pool; selecting the progeny population by combining a rapid non-dominated sorting method and (mu + lambda) selection operation, and carrying out multiple generations of evolution by repeating the variation, crossover and selection operation to obtain a group of non-dominated Pareto solution sets, so that a group of hyperspectral end member extraction results are obtained, and the extraction effect of the hyperspectral end member can be improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, in particular to a method and device for extracting hyperspectral endmembers based on multi-objective differential evolution based on ranking multi-variation. Background technique [0002] Hyperspectral imaging is widely used in various applications due to its ability to capture images with multiple spectral bands that provide diagnostic spectral information to identify different land cover types. Due to the limitation of resolution, there will inevitably be mixed pixels in hyperspectral images, which will bring troubles to the recognition of ground objects and the accurate analysis of hyperspectral images. [0003] To address the problem of mixed pixels, hyperspectral unmixing is an efficient method that decomposes the pixel spectrum into a collection of pure pixel spectra (called endmembers) and the corresponding proportion of endmembers (called abundances). . In the t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12G06F17/16G06K9/20
CPCG06N3/126G06F17/16G06V10/143
Inventor 杜博童旅杨张良培
Owner WUHAN UNIV
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