Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures
Imaging with different spectrums often leads to significant nonlinear differences in the intensity, which brings a great challenge to the automatic matching of multispectral images. Considering that there are often limitations to only using intensity information, this article studies multispectral i...
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doaj-2097a167975142c8822a9c9b4f53f7a42021-06-03T23:04:13ZengIEEEIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2151-15352021-01-011476277410.1109/JSTARS.2020.30433799286545Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image StructuresRuixiang Li0https://orcid.org/0000-0001-6046-1624Haitao Zhao1https://orcid.org/0000-0002-4177-1675Xiaoye Zhang2Xiaosan Ge3Zhanliang Yuan4Qin Zou5https://orcid.org/0000-0001-7955-0782School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaAerospace Information Research Institute, Chinese Academy of Sciences, Beijing, ChinaGuangdong Diankeyuan Energy Technology Company Ltd., Guangzhou, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, ChinaSchool of Computer Science, Wuhan University, Wuhan, ChinaImaging with different spectrums often leads to significant nonlinear differences in the intensity, which brings a great challenge to the automatic matching of multispectral images. Considering that there are often limitations to only using intensity information, this article studies multispectral image matching based on the structure consistency. First, an extended log-Gabor filter is constructed to build phase congruency maps, which encodes the structure information and provides rich and robust features. Then, a nonlinear diffusion-based algorithm is developed to detect the salient feature points on the phase congruency map, which are expected to be illumination and contrast invariant. Finally, the structure descriptors are built according to the orientation of the maximum log-Gabor filter responses, and the image matching is achieved by computing the correspondence. Extensive experiments are carried out on various multispectral image datasets. The results show that the proposed method holds a stable performance over the nonlinear intensity variance across spectrums, and outperforms the comparison methods in terms of the number of correct matches and the matching precision.https://ieeexplore.ieee.org/document/9286545/Multispectral image matchingnonlinear diffusionphase congruency (PC)structural descriptor |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruixiang Li Haitao Zhao Xiaoye Zhang Xiaosan Ge Zhanliang Yuan Qin Zou |
spellingShingle |
Ruixiang Li Haitao Zhao Xiaoye Zhang Xiaosan Ge Zhanliang Yuan Qin Zou Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Multispectral image matching nonlinear diffusion phase congruency (PC) structural descriptor |
author_facet |
Ruixiang Li Haitao Zhao Xiaoye Zhang Xiaosan Ge Zhanliang Yuan Qin Zou |
author_sort |
Ruixiang Li |
title |
Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures |
title_short |
Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures |
title_full |
Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures |
title_fullStr |
Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures |
title_full_unstemmed |
Automatic Matching of Multispectral Images Based on Nonlinear Diffusion of Image Structures |
title_sort |
automatic matching of multispectral images based on nonlinear diffusion of image structures |
publisher |
IEEE |
series |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
issn |
2151-1535 |
publishDate |
2021-01-01 |
description |
Imaging with different spectrums often leads to significant nonlinear differences in the intensity, which brings a great challenge to the automatic matching of multispectral images. Considering that there are often limitations to only using intensity information, this article studies multispectral image matching based on the structure consistency. First, an extended log-Gabor filter is constructed to build phase congruency maps, which encodes the structure information and provides rich and robust features. Then, a nonlinear diffusion-based algorithm is developed to detect the salient feature points on the phase congruency map, which are expected to be illumination and contrast invariant. Finally, the structure descriptors are built according to the orientation of the maximum log-Gabor filter responses, and the image matching is achieved by computing the correspondence. Extensive experiments are carried out on various multispectral image datasets. The results show that the proposed method holds a stable performance over the nonlinear intensity variance across spectrums, and outperforms the comparison methods in terms of the number of correct matches and the matching precision. |
topic |
Multispectral image matching nonlinear diffusion phase congruency (PC) structural descriptor |
url |
https://ieeexplore.ieee.org/document/9286545/ |
work_keys_str_mv |
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1721398648761221120 |