Multispectral remote sensing image variation detection method based on spectral reflectivity variation analysis

A technology of spectral reflectance and change detection, applied in image analysis, image data processing, instruments, etc., can solve problems such as difficulty in detecting change information

Inactive Publication Date: 2013-07-31
XIDIAN UNIV
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Problems solved by technology

Compared with principal component analysis, independent component analysis has certain robustness to registration error and brightness difference, but independent component analysis transformation makes different types of change regions distributed on several

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  • Multispectral remote sensing image variation detection method based on spectral reflectivity variation analysis
  • Multispectral remote sensing image variation detection method based on spectral reflectivity variation analysis
  • Multispectral remote sensing image variation detection method based on spectral reflectivity variation analysis

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Embodiment Construction

[0038] refer to figure 1 , the implementation steps of the present invention are as follows:

[0039] Step 1, input two multispectral image sets I of the same region acquired at two time phases 1 and I 2 .

[0040] Input two multispectral image sets of the same region acquired at two time phases: I 1 ={A 1 b} and I 2 ={A 2 b}, where A t b For each single-band image in the two multispectral image sets, the superscript b represents the band number, b=1,2,...,B, B is the total number of bands, the subscript t is the time phase number, t={1 ,2}, each single-band image A t b Both are composed of n rows and m columns of pixels.

[0041] Step 2, for two time-phase multispectral image sets I 1 and I 2 Perform Wiener filter denoising and normalization processing respectively to obtain a normalized image set and

[0042] 2.1) Combine the two-temporal multispectral image set I 1 and I 2 Each image in A t b The gray value range is converted from 0 to 255 to 0 to 1,...

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Abstract

The invention discloses a multispectral remote sensing image variation detection method based on spectral reflectivity variation analysis. The method mainly solves the problem of whole luminance difference sensitivity between different time phase images in the prior art. The method comprises the steps that (1) two time phase multispectral image sets registered in the same region are input, and subjected to wiener filtering, noise removal and normalization processing; (2) the processed image sets are converted into relative ground object spectral reflectivity image sets; (3) the variance and the modulus of a spectral reflectivity variation are calculated, a variogram and a modulus value figure of the spectral reflectivity variation are obtained and enhanced respectively, and an enhanced variogram and an enhanced modulus value figure are obtained; and (4) the enhanced variogram and the enhanced modulus value figure are divided, and a variation detection result figure is obtained by fusing divided binary images. The method requires no manual participation, is high in detection accuracy, and can be used for land utilization and cover monitoring, vegetation cover monitoring, and water resource and mineral resource monitoring.

Description

technical field [0001] The invention belongs to the technical field of optical remote sensing image processing, and relates to unsupervised change detection when there is a large overall brightness difference between two-temporal multi-spectral remote sensing images, and can be used for land use, vegetation coverage, water resources, mineral resources, etc. Change monitoring. Background technique [0002] With the openness of remote sensing image data and the continuous improvement of processing technology, the use of multi-temporal remote sensing image data to monitor changes in land use, vegetation cover, water resources, and mineral resources has become more and more popular. It is of great significance in many aspects such as water conservancy and mineral resources. Since the changes of different surface object types may be reflected in different spectral ranges, and multispectral remote sensing image data has multiple receiving frequency bands from visible light to inf...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 王桂婷焦李成孙一博公茂果钟桦王爽张小华田小林侯彪
Owner XIDIAN UNIV
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