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Unmixing Method of hnmf Remote Sensing Image Based on Information Entropy

A remote sensing image and information entropy technology, applied in the field of HNMF remote sensing image unmixing, can solve the problem of not considering the physical information of remote sensing data, and achieve a good unmixing effect

Active Publication Date: 2021-11-05
CHINA UNIV OF GEOSCIENCES (WUHAN)
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] However, the above-mentioned optimization methods only consider the spectral information and spatial information of remote sensing data, and most of them introduce L 1 , L 2 The optimization method is limited by the equal norm, and does not consider the physical information of the remote sensing data

Method used

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  • Unmixing Method of hnmf Remote Sensing Image Based on Information Entropy
  • Unmixing Method of hnmf Remote Sensing Image Based on Information Entropy
  • Unmixing Method of hnmf Remote Sensing Image Based on Information Entropy

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Experimental program
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Effect test

Embodiment 1

[0070] Embodiment 1. The initial value is obtained by a random method, and the parameters of the CNMF method are empirical values, and the regularization parameters of the HNMF method also refer to the empirical values ​​of CNMF. Three kinds of ground features, Carnallite, Chert and Andradite, were selected as the experimental results, which are the average results of 25 experiments.

[0071] like figure 2 As shown, the comparison between the three endmember abundance maps unmixed by the three methods of NMF, CNMF and HNMF and the real endmember abundance map. From the part circled by the white rectangle in the figure, the endmember abundance map unmixed by the HNMF method is the closest to the real endmember abundance map.

[0072] As shown in Table 1, it shows the comparison of the SAD value and RMSE value of the unmixing results of these three methods. From the results, the HNMF method is better than the two performance indicators of spectral angular distance SAD and root...

Embodiment 2

[0075] Example 2. The data used is part of the data of Cuprite in Nevada, USA. Through real data experiments, the unmixing of the three methods of NMF, CNMF and HNMF is further compared and analyzed. The abundance map is based on the results of the tetracorder operation. , for the spectral curve of the end member, the spectral curve of the end member was extracted from the original data on the ENVI4.8 platform as a reference result, from which hematite, chalcedony and pyroxene were selected. A typical ground feature is used as a reference result, such as image 3 As shown in Table 2, the abundance maps, SAD values, and RMSE values ​​of the three endmembers after the unmixing of the three methods are given in turn.

[0076] From the abundance projection map, for hematite, the area circled by the white frame in the second column in the table, from top to bottom, the color is getting closer to black, which is closer to the reference result; for chalcedony, the third column in the...

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Abstract

The invention provides an HNMF remote sensing image unmixing method based on information entropy, comprising: S1, establishing a CNMF remote sensing image unmixing method based on sparse constraints for the current remote sensing image; S2, obtaining the information entropy of the current remote sensing image, and obtaining the information entropy regularization S3, using the information entropy regularization function in S2 to replace the norm regularization function in the CNMF remote sensing image unmixing method based on sparse constraints in step S1, and establish an information entropy-based HNMF remote sensing image unmixing method. Aiming at the uneven distribution of endmembers in remote sensing images, the physical information of remote sensing data is mined, and information entropy is used to replace norm rule items. A HNMF remote sensing image unmixing method based on information entropy is proposed, which has more advantages than traditional NMF and CNMF. Good unmixing effect.

Description

technical field [0001] The invention relates to an HNMF remote sensing image unmixing method based on information entropy. Background technique [0002] Remote sensing technology is a new technology that intersects multiple disciplines such as detection and information detection. As the research and development of imaging spectrometers continues to make new breakthroughs, image analysis technology is getting more and more in-depth, and the research and development of remote sensing technology has set off an upsurge, which has won the favor of the majority of scientific researchers and occupies a place in various fields. [0003] The prototype of remote sensing technology is the imaging spectrometer research and development program, which was first formulated and proposed by the Jet Propulsion Lab (JPL) of the California Institute of Technology. The world's first generation of high-resolution aerial imaging spectrometer - AIS-1 was born in the United States in 1983. The sec...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/10032G06T5/70
Inventor 李杏梅刘晓杰王心宇
Owner CHINA UNIV OF GEOSCIENCES (WUHAN)