Hyperspectral remote sensing image end member extraction method
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, which can solve the problems of not using spatial information and reducing the utilization rate of information, and achieve the effect of fast extraction speed
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[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 S1, and 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 se...
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