Fisher judged null space based method for decomposing mixed pixels of high-spectrum remote sensing image

A hyperspectral remote sensing and image mixing technology, which is applied in the field of hyperspectral remote sensing image mixed pixel decomposition, can solve problems such as unclear physical meaning of spectral processing methods

Inactive Publication Date: 2010-04-07
FUDAN UNIV
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Problems solved by technology

In 2000, Asner et al. differentially processed the spectrum to reduce the spectral difference of endmembers[3]. In 2004, Wu et al. normalized the spectrum by dividing the spectrum by th...

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  • Fisher judged null space based method for decomposing mixed pixels of high-spectrum remote sensing image
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  • Fisher judged null space based method for decomposing mixed pixels of high-spectrum remote sensing image

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Embodiment approach

[0076] 1. Simulate remote sensing image data

[0077] In order to test the results and accuracy of the Fisher discriminant null space algorithm, this paper designs an experiment to simulate hyperspectral image data. Extract 9 pure pixel spectra of 4 types of ground features (hay, artificial buildings, corn, soybeans) from the AVIRIS data in Indiana area as experimental samples to simulate the phenomenon of isomorphism, such as figure 1 Shown. After removing water absorption bands and noise bands (bands 1-4, 78-82, 103-115, 148-166 and 211-220), the remaining 169 effective bands are used to simulate hyperspectral remote sensing data.

[0078] figure 2 It is a schematic diagram of simulated four kinds of endmember abundance images used in the experiment, and its size is 101×101 pixels. The 6×6 pixel area at the vertex of the highest brightness in the abundance map contains 9 pure pixel samples of the feature, and each sample occupies 4 pixels. Randomly generate a mixed sequence o...

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Abstract

The invention belongs to the technical field of remote sensing image processing, and particularly discloses a Fisher judged null space based method for decomposing mixed pixels of a high-spectrum remote sensing image. A Fisher judged null space method is provided aiming at the problem that the decomposition precision is reduced due to the phenomenon of same objects and different spectrums generally existing in the mixed pixel decomposition. The method comprises the following steps: analyzing a training sample consisting of pure pixel spectrums of an end member, constructing an intra-class scattering matrix null space of the training sample, making the spectrum difference in the end member become null, searching a judgment vector causing the scattering degree of the intra-class scattering matrix to be maximum in the null space, and making the separation degree of end member spectrums of different classes maximum so as to furthest reduce the decomposition error caused by the same objects and different spectrums. The method of the invention has particularly important application values in the aspects of high-precision surface feature decomposition of the high-spectrum remote sensing image and detection and identification of ground targets.

Description

Technical field [0001] The invention belongs to the technical field of remote sensing image processing, and specifically relates to a hybrid pixel decomposition method of hyperspectral remote sensing image based on Fisher distinguishing null space. 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, computers, and geography. It is one of the most powerful technical methods for studying the earth's resources and environment. In recent years, with the advancement of imaging technology, multi-band remote sensing images have been widely used in more and more fields. Due to the limitation of the spatial resolution of the hyperspectral remote sensing sensor, the range of a pixel in the hyperspectral remote sensing image often covers a variety of features. The spectral value of the pixel is actually a mixture of the spectral values ​​of several pure features...

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Application Information

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IPC IPC(8): G01S7/48G06T7/00
Inventor 金晶王斌张立明
Owner FUDAN UNIV
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