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High optical spectrum reconstruction method and system based on TM image

A hyperspectral and image technology, applied in the field of remote sensing, can solve problems such as spectral resolution, spatial resolution and signal-to-noise ratio cannot be guaranteed at the same time, achieve high signal-to-noise ratio, improve spectral resolution, and high spatial resolution

Inactive Publication Date: 2008-12-10
PEKING UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for hyperspectral reconstruction based on TM images, to solve the problems of spectral resolution, spatial resolution and signal-to-noise ratio due to the limitation of solar reflection energy in the acquisition of remote sensing data in the prior art. Simultaneous Guaranteed Issues

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  • High optical spectrum reconstruction method and system based on TM image
  • High optical spectrum reconstruction method and system based on TM image
  • High optical spectrum reconstruction method and system based on TM image

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Embodiment Construction

[0046] The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0047] figure 1 It is a flow chart of an embodiment of the hyperspectral reconstruction method based on TM images in the present invention. As shown in the figure, the hyperspectral reconstruction method of this embodiment includes the following steps:

[0048] S101. Obtain original TM multispectral image data and continuous spectral data of different types of typical ground objects;

[0049] The original TM multispectral image data acquired by the TM sensor is used, and the ground spectrometer is used to obtain three typical continuous spectral data of water, vegetation and soil. figure 2is the spectrum of a certain pixel in the original TM image data. Since the original TM image has only 6 bands, its spectrum is in the form of a broken line, and the horizontal axis in the figure represents the wavelength (nm), and the vertical axis...

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Abstract

The invention relates to a high spectrum restructuring method which is based on TM images. The method comprises: firstly, carrying out the orthogonal subspace projection transformation according to the obtained TM multi-spectral images and extracting the object feature parameters of each pixel of the TM images; then establishing a restructuring transformation matrix by utilizing the object feature parameters to restructure the spectrum and obtain high spectrum information. The invention also relates to a corresponding high spectrum restructuring system. The high spectrum restructuring method and the system which are based on the TM images of the invention can restructure from the TM and other multi-spectral satellite remote sensing data and obtain the continuous high spectrum data with high spectral resolution, not only the high spatial resolution and the high noise-signal ratio that the original multi-spectral satellite remote sensing data have are satisfied, but also the spectral resolution of the multi-spectral data is improved.

Description

technical field [0001] The invention relates to the technical field of remote sensing, in particular to a method and system for reconstructing hyperspectral remote sensing information from TM (Thematic Mapper, Thematic Mapper) multispectral satellite remote sensing data. Background technique [0002] Hyperspectral remote sensing data provide a large amount of spectral information of ground objects, which is conducive to fine classification and quantitative remote sensing of ground objects. However, the acquisition cost of hyperspectral data is high, the equipment is huge, and the atmospheric window for aerospace acquisition is limited. Spectral resolution, spatial resolution, and signal-to-noise ratio are three conditions that cannot be met simultaneously in remote sensing data acquisition. The improvement of spectral resolution means that in order to maintain sufficient spatial resolution, the signal-to-noise ratio must decrease; Higher signal-to-noise ratio and higher spe...

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Application Information

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IPC IPC(8): G01S7/48G01S17/89
Inventor 张立福
Owner PEKING UNIV
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