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An endmember extraction method for hyperspectral remote sensing images

A technology of hyperspectral remote sensing and endmember extraction, which is applied in the field of hyperspectral remote sensing image endmember extraction and improved maximum spectrum screening, can solve the problems of not using spatial information and reducing the utilization rate of information, and achieve the effect of fast extraction speed

Active Publication Date: 2016-03-23
HOHAI UNIV
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Problems solved by technology

These methods have their own advantages, but these algorithms do not use spatial information, which reduces the utilization rate of information

Method used

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  • An endmember extraction method for hyperspectral remote sensing images
  • An endmember extraction method for hyperspectral remote sensing images
  • An endmember extraction method for hyperspectral remote sensing images

Examples

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Embodiment

[0040] Example: The experimental data is the hyperspectral image Cuprite data of the 224 band in the Nevada region acquired by the AVIRIS sensor on June 19, 1997. The sub-image size is 350×350 pixels, and the data spatial resolution is 20m. After removing the water absorption and low SNR bands, 189 bands were retained. The image contains five minerals: Alunite, Buddingtonite, Calcite, Kaolinite and Muscovite. According to field investigation, the image actually contains more than 20 kinds of minerals.

[0041] The specific implementation steps are:

[0042] Step 1, select the hyperspectral image S to be dimensionally reduced, the spectral empty set S 1 , set the endmember spectral similarity threshold β;

[0043] Step 2: Select a certain spectrum x from S by using the Linear Prediction (LP) method, and put it into the spectral empty set S 1 Middle; the selection of the initial spectrum takes the following steps:

[0044] Step A), assuming that there are N cells in the set...

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Abstract

The invention discloses a hyperspectral remote sensing image end member extraction method. The method comprises the following steps of: selecting a hyperspectral image S of which the dimension is required to be reduced, providing a spectrum null set S1, and setting an end member spectrum similarity threshold value beta; selecting a certain spectrum x from S by utilizing a linear prediction (LP) method, and placing the selected spectrum x into the spectrum null set S1; shifting all pixels out of S one by one, performing spectrum similarity comparison, directly deleting the pixels if similarity between the pixels and any spectrum in S1 is lower than the set threshold value beta, otherwise placing the pixels into S1; continuously repeating the steps 2 and 3 until S is null or until the preset band number is met; and obtaining a finally extracted end member information data set S1'. A hyperspectral remote sensing end member extraction effect is improved, and high-quality end members are provided for the decomposition of mixed pixels.

Description

technical field [0001] The invention belongs to the technical field of hyperspectral remote sensing image processing, specifically relates to a hyperspectral remote sensing image endmember extraction method, and more particularly relates to an improved maximum spectral screening (MSS) hyperspectral remote sensing image endmember extraction method. Background technique [0002] With the continuous development of space technology, satellite remote sensing has become an important means for people to obtain earth observation information. There are two important problems to be solved in remote sensing earth observation, one is the geometric problem, and the other is the physical problem. The former is the goal of photogrammetry, and the latter is to answer what is the object of observation? This is the problem of remote sensing. Remote Sensing (RemoteSensing), literally means "distant perception". In a broad sense, it refers to a technology that is far away from the target and...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 苏红军曹陈霞
Owner HOHAI UNIV
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