Spectrum compression method based on KL (Karhunen-Loeve) transformation

A technology of KL transformation and compression method, which is applied in the field of spectral compression based on KL transformation, can solve the problems of huge calculation and storage, large statistical calculation, and difficult real-time application, so as to achieve compression and overcome the large calculation , to achieve high efficiency and high fidelity effects

Inactive Publication Date: 2010-09-08
SHANTOU UNIV
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Problems solved by technology

However, since this transformation is related to the secondary statistics of the image, the extraction of the principal component image involves a huge amount of calculation and storage. The basis function of each transformation needs to calculate the covariance matrix, eigen Va

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  • Spectrum compression method based on KL (Karhunen-Loeve) transformation
  • Spectrum compression method based on KL (Karhunen-Loeve) transformation
  • Spectrum compression method based on KL (Karhunen-Loeve) transformation

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Embodiment Construction

[0021] Embodiments of the present invention will now be described with reference to the drawings, in which like reference numerals represent like elements. As mentioned above, the present invention provides a spectral compression method based on KL transform, which overcomes the problems in the prior art that are not conducive to real-time implementation due to the large amount of calculation, and realizes high-efficiency and high-fidelity compression of massive spectral data.

[0022] First, please refer to Figure 1-2 , figure 1 It is a flow chart of the spectrum compression method based on KL transform in the present invention. figure 2 It is an overall framework diagram showing the flow of the KL transform-based spectral compression method of the present invention. The spectral compression method based on KL transformation of the present invention comprises steps:

[0023] S101. Cutting the original spectral image into blocks. In the embodiment of the present inventio...

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Abstract

The invention discloses a spectrum compression method based on KL (Karhunen-Loeve) transformation, which comprises the following steps of: cutting and partitioning an original spectrum image; carrying out feature extraction on the spectrum image, which is partitioned into blocks, by using the KL transformation, and acquiring a compressed spectrum image according to number of eigen values required to be extracted. The spectrum compression method based on the KL transformation overcomes the problems of difficult real-time realization due to large computational burden and the like in the prior art and realizes the high-efficiency and high-fidelity compression of mass spectrum data.

Description

technical field [0001] The invention relates to the technical field of remote sensing image processing, and in particular to a spectral compression method based on KL transformation. Background technique [0002] Remote sensing is a new comprehensive technology developed in the 1960s. It is closely related to science and technology such as space, electron optics, computer, and geography. It is one of the most powerful technical means for studying the earth's resources and environment. All objects have the characteristics of reflecting or radiating electromagnetic waves of different wavelengths. The technology of identifying objects and their existing environment by identifying electromagnetic waves is called remote sensing. With the development of remote sensing technology, spectral imaging technology has been more and more widely used. Spectral imaging technology integrates optics, spectroscopy, precision machinery, electronic technology and computer technology, and can ob...

Claims

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Application Information

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IPC IPC(8): G01S7/48
Inventor 闫敬文卢刚陈嘉臻
Owner SHANTOU UNIV
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