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Method for enhancing distinguishability cooperated with space-optical spectrum information of high optical spectrum image

A technology of hyperspectral image and spectral information, which is applied in the field of improving spatial resolution of hyperspectral image information, can solve the problems of insufficient utilization of spatial information and spectral information image resolution, and achieves improved spatial resolution, low utilization rate, The effect of making up for the lack of hardware

Inactive Publication Date: 2008-03-12
HARBIN INST OF TECH
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  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to solve the problem that the existing hyperspectral image processing technology cannot make full use of spatial information and spectral information to improve the image resolution, and then propose a space-spectral information of hyperspectral image to jointly improve the resolution Methods

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  • Method for enhancing distinguishability cooperated with space-optical spectrum information of high optical spectrum image
  • Method for enhancing distinguishability cooperated with space-optical spectrum information of high optical spectrum image
  • Method for enhancing distinguishability cooperated with space-optical spectrum information of high optical spectrum image

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specific Embodiment approach 1

[0022] Specific embodiment one: illustrate this embodiment in conjunction with Fig. 1, the steps of this embodiment are as follows:

[0023] Step 1: input hyperspectral image data: read in hyperspectral image data according to the data format and simultaneously input it into the spatial information extraction module in step A and the spectral information extraction module in step B of the computer for information extraction;

[0024] Step A: Spatial information extraction: Feature band selection and spatial local analysis and judgment are performed through the spatial information module;

[0025] Step A1: Feature band selection: feature band selection is to extract or select feature bands with large amount of information in the hyperspectral image data;

[0026] Step A2: Spatial local analysis and judgment: use the differential operator edge detection algorithm to extract the edge information of the feature spectrum segment extracted or selected in step A1, and judge the edge ...

specific Embodiment approach 2

[0032] Specific embodiment two: the difference between this embodiment and specific embodiment one is that the method used in the feature band selection in step A one has principal component transformation to extract feature bands or select feature bands based on the principle of maximum information entropy; other composition and connection methods are the same as The specific embodiment one is the same.

specific Embodiment approach 3

[0033] Specific embodiment three: This embodiment is described in conjunction with FIG. 2. The difference between this embodiment and specific embodiment one is that the spatial local analysis and judgment in step A2 is to analyze the hyperspectral image of each characteristic spectrum segment, where x i，J is the pixel to be processed in the single-band hyperspectral image, W is the local window centered on the pixel, and a 3×3 window is used as an example to illustrate:

[0034] W = x i - 1 , j - 1 , x i - 1 ...

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Abstract

A method to jointly improve resolution of high spectral image space and spectral information relates to a method to improve spatial resolution through high spectral image information, which removes a failure to make full use of spatial information and spectral information to improve image resolution during high spectral image processing and comprises steps below: I. Inputting high spectral image data; A. Withdrawing spatial information; A I. Selecting characteristic wave band; A II. Analyzing and judging partial space; B. Withdrawing spectral information; B I. Withdrawing spectral terminal element; B II. Mixing pixel decomposition; II. Fulfilling collaborative super resolution of space and spectrum; III. Obtaining high spectral images with improved resolution. The present invention realizes breakthrough of spatial resolution during image acquisition, utilizes mixed partial relevance supporting vector mechanical decomposition to conduct spatial and spectral information collaboration technology, improve spatial resolution of high spectral image, greatly increase target detecting and locating capacity, break through limits of image acquisition means and make up hardware defects.

Description

technical field [0001] The invention relates to a method for improving spatial resolution by using hyperspectral image information. Background technique [0002] Spatial resolution is simply a measure of the imaging system's ability to distinguish image details, and it is also an indicator of the subtlety of objects in the image. It represents the detail level of scene information and is one of the important indicators for evaluating sensor performance and remote sensing information. An important basis for the shape and size of ground objects. The spatial resolution of the remote sensing image is directly related to the imaging optical system. If the resolution is low, there will be more mixed pixels in the remote sensing image, which will seriously affect the analysis and understanding of the image. In terms of detection and identification, it is very unfavorable. [0003] Spectral resolution refers to the fineness of the discrete sampling of the surface object spectrum b...

Claims

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Application Information

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IPC IPC(8): G01S17/89G01S7/48G01J3/28
Inventor 张钧萍张晔谷延锋邹斌王立国陈浩
Owner HARBIN INST OF TECH
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