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A fast hyperspectral/multispectral image fusion method based on sub-band and block strategy

A multi-spectral image and fusion method technology, which is applied in the field of rapid hyperspectral/multispectral image fusion, can solve the problems that the amount of data cannot meet the coverage of the research area, the dimension of hyperspectral data is high, and the fusion cannot be performed, so as to achieve high efficiency and Effects for High Quality Fusion, Improved Computational Efficiency, Increased Efficiency and Fusion Effects

Active Publication Date: 2020-06-30
NINGBO UNIV
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Problems solved by technology

However, hyperspectral data has a high dimensionality, and the large amount of data limits the use of some image processing software at present, and the fusion cannot be carried out. The current method for the fusion of hyperspectral data and multispectral data only considers the case of small data volume. In real In the application, the small amount of data cannot meet the coverage of the research area, and the practicability of the method is limited

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  • A fast hyperspectral/multispectral image fusion method based on sub-band and block strategy
  • A fast hyperspectral/multispectral image fusion method based on sub-band and block strategy
  • A fast hyperspectral/multispectral image fusion method based on sub-band and block strategy

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[0048]The present invention will be further described below in conjunction with the examples. The description of the following examples is provided only to aid the understanding of the present invention. It should be pointed out that for those skilled in the art, some modifications can be made to the present invention without departing from the principles of the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

[0049] The technical scheme of the present invention can adopt computer software to realize the automatic operation process, below in conjunction with figure 1 The hyperspectral and multispectral data fusion steps based on sub-band and block strategies are described in detail:

[0050] Step 1. Preprocessing hyperspectral data and multispectral data; the present invention uses data as existing hyperspectral and multispectral remote sensing data, which needs to be preprocessed, and ...

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Abstract

The present invention relates to a hyperspectral / multispectral image fast fusion method based on a sub-band and block strategy, comprising: step 1) preprocessing hyperspectral data and multispectral data; step 2) cutting the data into small areas And sub-band; step 3) divides the hyperspectral data into bands; step 4) averages a plurality of bands in the multispectral data, and transforms it into a band; step 5) divides the hyperspectral data and synthesizes the multispectral data of a band Determine the window size and block it. The beneficial effects of the present invention are: the present invention fully improves the insufficiency of the calculation efficiency of the existing fusion method; fully utilizes the high efficiency of image sub-band and sub-block fusion, and the improvement of the fusion effect after multi-spectral data band synthesis is high in three steps of fusion Spectral data and multispectral data. This method realizes high-efficiency and high-quality fusion of data, and has strong practicability. The method proposed by the invention has important practical application significance.

Description

technical field [0001] The present invention relates to the technical field of optical remote sensing image processing, in particular to a hyperspectral / multispectral image fast fusion method based on a sub-band and block strategy; To improve the fusion effect after synthesis, a three-step continuous and reliable image fusion process is designed to achieve high-quality and efficient fusion of hyperspectral data and multispectral data. Background technique [0002] Remote sensing images are the most important data source in the field of earth observation. As one of the important steps in remote sensing image processing, image fusion is effective for reconstructing remote sensing data with high spectral resolution and high spatial resolution, and is an important means to improve the spatial resolution of hyperspectral data. [0003] Hyperspectral data has a high spectral resolution, which can be used for fine classification of ground objects, but its spatial resolution is ins...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/194G06V20/13G06F18/25
Inventor 孙伟伟任凯杨刚孟祥超
Owner NINGBO UNIV