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High-spectrum color visualization method with distance maintaining property

A distance-maintaining, hyperspectral technology, applied in the field of hyperspectral remote sensing image visualization, can solve problems such as unfavorable practical promotion and large amount of calculation.

Inactive Publication Date: 2012-11-14
HARBIN ENG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these methods either overflow in the color space conversion, or are only satisfied with the linear condition, and the calculation amount of the above methods is relatively huge, which is not conducive to practical promotion

Method used

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  • High-spectrum color visualization method with distance maintaining property
  • High-spectrum color visualization method with distance maintaining property
  • High-spectrum color visualization method with distance maintaining property

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Embodiment Construction

[0033] The present invention will be described in more detail below in conjunction with the accompanying drawings.

[0034] The present invention is a hyperspectral color visualization model with distance maintaining characteristics, and the detailed implementation process of the present invention is given below:

[0035] 1) Preliminary preparation of hyperspectral data.

[0036] All the hyperspectral data used in the present invention have been pre-processed such as atmospheric and geometric correction. In the present invention, methods such as PCA can also be used to reduce the dimensionality of the original hyperspectral data, that is, to retain the first N principal components containing 99.9% of the original data information, so as to reduce the time-consuming calculation, and no dimensionality reduction is required. Endmember vectors can be obtained from supervised data or prior knowledge. If there is no supervised data, endmember extraction methods such as N-finder can...

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Abstract

The invention provides a high-spectrum color visualization method with distance maintaining property. The method comprises the following steps of: (1) reducing the dimensions of each end member spectrum in a high-spectrum image to a 2D space as chromaticity coordinates; (2) optimizing the third-dimensional brightness value to obtain optimal distance correlation so as to determine the color label of each end member; and (3) performing linear mixing of the color according to various kinds of abundance included in the pixel. In the invention, the original high-spectrum data is optimized to a CIELab space with uniform sensing characteristics. The optimization target of the invention is as follows: the distance difference between the pixels of the generated image is related to the distance difference between the spectrums of the high-spectrum data as much as possible, and relatively great inter-class separability of the generated image is guaranteed.

Description

technical field [0001] The invention relates to a hyperspectral remote sensing image visualization method. Background technique [0002] Hyperspectral imagery (HYPERSPECTRAL IMAGERY, HSI) contains not only rich spatial information but also rich spectral information. The information carried by hyperspectral data generally adopts the following three spatial expressions, namely image space, spectral space and feature space. Different representations emphasize different information and are suitable for different purposes. For the human visual system, image space representation is the most natural and intuitive way of expression. Usually, optimizing the 3D hyperspectral data to a three-channel color display system (such as RGB, HSV, CIELAB, etc.) for display can have better visualization effects and express more abundant information. However, this low-dimensional display model inevitably loses part of the spectral information, so this visualization method needs to perform dime...

Claims

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Application Information

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IPC IPC(8): G06T17/00G06T5/00
Inventor 王立国刘丹凤赵亮
Owner HARBIN ENG UNIV
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