Method for selecting wave bands of hyperspectral image based on image quality assessment
A technology for image quality evaluation and hyperspectral images, applied in the field of image processing, can solve problems such as poor band recognition ability, and achieve the effect of improving discrimination ability and low correlation
Active Publication Date: 2016-08-17
XIDIAN UNIV
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[0008] The purpose of the present invention is to overcome the above-mentioned defects in the prior art, propose a hyperspectral image band selection method based on image quality evaluation, improve the MRMR band selection method by introducing image quality evaluation, and propose a new An unsupervised band selection method, which is used to solve the problem of poor recognition ability of selected bands existing in existing unsupervised band selection methods
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[0026] Below in conjunction with accompanying drawing and specific embodiment, the present invention is described in further detail:
[0027] Refer to attached figure 1 , the hyperspectral image used in this embodiment is a hyperspectral image of Indiana.
[0028] Step 1, input hyperspectral image A;
[0029] Step 2, normalize the spectral value of the hyperspectral image A to between 0 and 1 to obtain the normalized hyperspectral image A';
[0030] Step 3, record each band image in the normalized hyperspectral image A′ as x i , where x iIndicates the i-th band image, i=1,2...220, averages the images of each band in the hyperspectral image A', and obtains the average image, denoted as y';
[0031] Step 4, for each band image x in the normalized hyperspectral image A′ i Quantize with the average image y′ to obtain the quantized band image x i ' and the quantized average image y';
[0032] Step 5, using the quality evaluation criterion, taking the quantized average image ...
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The invention provides a method for selecting wave bands of a hyperspectral image based on image quality assessment, aiming at addressing poor property of selected wave band subsets in determining that is present in non-monitored wave band selection methods. The method includes the following steps: inputting a hyperspectral image that is subject to wave band selection; normalizing the hyperspectral image; averaging wave band images of the normalized hyperspectral image to obtain an average image; quantifying the wave band images and the average image; with the average image as a reference, obtaining the image quality assessment value of each wave band image; replacing mutual information between wave bands and sample labels in the MRMR wave band selection methods with the image quality assessment values; based on the improved MRMR, conducting wave band selection. According to the invention, the method, through introducing image quality assessment, can select high quality wave bands, and has small correlation among wave bands, has excellent determining property of the selected wave band subsets, and is applicable to dimensionality reduction on hyperspectral images.
Description
technical field [0001] The invention belongs to the technical field of image processing, and relates to a hyperspectral image band selection method, in particular to a hyperspectral image band selection method based on image quality evaluation, which can be used for dimensionality reduction of hyperspectral images. Background technique [0002] Remote sensing is a technology to detect objects in nature from a distance. All objects in nature have the characteristics of reflecting or emitting electromagnetic waves, and the objects are different, and the environments they are in are different. The electromagnetic waves emitted or reflected by objects are also different. Or the reflected electromagnetic wave contains the characteristic information of the object, which can be used as a tool to perceive different objects. Based on this principle, remote sensing technology uses physical equipment to collect electromagnetic waves emitted or reflected by objects to perceive and ident...
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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10036G06T2207/30168
Inventor 曹向海李星华梁甜李泽瀚焦李成
Owner XIDIAN UNIV