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Research on a nonlinear spectral mixture model of hyperspectral images and its application in geological mapping

A spectral mixing model and nonlinear technology, applied in the field of spectral unmixing of hyperspectral remote sensing images, can solve problems such as low unmixing accuracy and inability to correctly reflect spectral mixing methods

Inactive Publication Date: 2016-12-21
BEIJING NORMAL UNIVERSITY
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Problems solved by technology

[0005] Theoretically speaking, spectral unmixing first needs to determine the spectral mixing model. The most extensively and deeply studied spectral mixing model is the linear spectral mixing model (refer to Comparative Document 2). The accuracy is not high, the nonlinear spectral mixing model can better reflect the spectral mixing method, and can get more accurate unmixing results (refer to comparative file 3)

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  • Research on a nonlinear spectral mixture model of hyperspectral images and its application in geological mapping
  • Research on a nonlinear spectral mixture model of hyperspectral images and its application in geological mapping
  • Research on a nonlinear spectral mixture model of hyperspectral images and its application in geological mapping

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Embodiment Construction

[0033] ●Model derivation:

[0034] Assume that there are only two types of ground objects A and B in a certain mixed pixel ( figure 1 ), the spatial position distribution and proportion of the two kinds of ground objects are unknown, and the spectral vectors of the two kinds of ground objects are respectively m 1 and m 2 , whose abundance vectors are a 1 and a 2 , set M=[m 1 , m 2 ], a=[a 1 , a 2 ] T .

[0035] The hybrid method is divided into two categories: linear and secondary scattering:

[0036] Linear case: (a) photons are directly reflected into the sensor after incident on object A; (b) photons are directly reflected into the sensor after incident on object B.

[0037] Secondary scattering situation: The secondary impact of photons before reaching the sensor includes four situations, (c) the incident photon hits the object A, scatters to the object A and then reflects to the sensor; (d) the incident photon hits the object A , and reflect to the sensor after...

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Abstract

The invention belongs to the technical field of hyperspectral remote sensing image processing, and specifically relates to a hyperspectral remote sensing image spectral unmixing method. Aiming at the problem of low unmixing accuracy of the linear spectral mixture model, a nonlinear spectral mixture model for hyperspectral remote sensing imagery based on rescattering is proposed, and a method for determining the rescattering coefficient in the model is defined. The remote sensing geological mapping based on the unmixing results of the model is studied, and three mapping rules are proposed. By comparing with the linear model mapping results, the unmixing using the secondary scattering model can obtain more accurate mapping results.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral remote sensing image processing, and specifically relates to a hyperspectral remote sensing image spectral unmixing method. Background technique [0002] In the 1980s, a new type of earth observation technology - hyperspectral remote sensing technology emerged. It pushes people's ability to study surface information from land to space, broadens people's research horizons, and greatly improves people's ability to observe and monitor the earth in a macroscopic, accurate, timely and comprehensive manner. Imaging spectroscopy technology has pushed remote sensing bands from a few or dozens to hundreds or thousands, and its covered spectral range has gradually expanded from visible to near-infrared and short-wave infrared to ultraviolet and mid-infrared. Each pixel of hyperspectral remote sensing data can provide almost continuous spectral curves of surface features, making it possible for people...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T11/40
Inventor 余先川李建广徐金东
Owner BEIJING NORMAL UNIVERSITY