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Zhenxuan Li - IEEE Xplore Author Profile
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Zhenxuan Li

Publications
5
Citations
136
Publications by Year
20172022
Co-Authors:
Show All Co-Authors (28)
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Zhenxuan Li

Affiliation

College of Civil Engineering
Hefei University of Technology
Hefei, China

Publication Topics

Biography

Zhenxuan Li received the Ph.D. degree in geodesy and surveying engineering from the China University of Mining and Technology, Xuzhou, China, in 2018.,He is currently a Lecturer with the School of Civil Engineering, Hefei University of Technology, Hefei, China. His research interests include remote sensing image processing, object extraction, and change detection.(Based on document published on 23 November 2022).
Publications
5
Citations
136
Publications by Year
20172022
Co-Authors:
Show All Co-Authors (28)
Author's Published Works

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Subpixel Change Detection Based on Improved Abundance Values for Remote Sensing Images

Zhenxuan Li;Wenzhong Shi;Chunju Zhang;Jun Geng;Jianwei Huang;Zhourun Ye

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2022 | Volume: 15 | Journal Article |
Cited by: Papers (4)
To achieve land cover change detection (LCCD) with both fine spatial and temporal resolutions from remote sensing images, subpixel mapping-based approaches have been widely studied in recent years. The fine spatial but coarse temporal resolution image and the coarse spatial but fine temporal image are used to accomplish LCCD by combining their advantages. However, the performance of subpixel mappi...Show More

Subpixel Change Detection Based on Improved Abundance Values for Remote Sensing Images

Zhenxuan Li;Wenzhong Shi;Chunju Zhang;Jun Geng;Jianwei Huang;Zhourun Ye

Year: 2022 | Volume: 15 | Journal Article |

Application of a Hypergeometric Model in Simulating Canopy Gap Fraction and BRF for Forest Plantations on Sloping Terrains

Jun Geng;Jing M. Chen;Weiliang Fan;Lili Tu;Yong Pang;Gang Yuan;Lichen Xu;Canyang Zhu;Teng Zhang;Chunju Zhang;Zhourun Ye;Yongchao Zhu;Zhenxuan Li

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2022 | Volume: 15 | Journal Article |
Cited by: Papers (10)
The influence of tree distribution and slope on canopy gap fraction (GF) and bidirectional reflectance factor (BRF) is shown here to be non-negligible. Trees are often assumed to be randomly distributed in natural forests due to random distribution of natural resources, but this assumption is not valid for forest plantations. A geometric optical model for forest plantations (GOFP) is a geometric o...Show More

Application of a Hypergeometric Model in Simulating Canopy Gap Fraction and BRF for Forest Plantations on Sloping Terrains

Jun Geng;Jing M. Chen;Weiliang Fan;Lili Tu;Yong Pang;Gang Yuan;Lichen Xu;Canyang Zhu;Teng Zhang;Chunju Zhang;Zhourun Ye;Yongchao Zhu;Zhenxuan Li

Year: 2022 | Volume: 15 | Journal Article |

Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

Runmin Lei;Chunju Zhang;Wencong Liu;Lei Zhang;Xueying Zhang;Yucheng Yang;Jianwei Huang;Zhenxuan Li;Zhiyi Zhou

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2021 | Volume: 14 | Journal Article |
Cited by: Papers (23)
Deep learning models have shown excellent performance in the hyperspectral remote sensing image (HSI) classification. In particular, convolutional neural networks (CNNs) have received widespread attention because of their powerful feature-extraction ability. Recently, a capsule network (CapsNet) was introduced to boost the performance of CNNs, marking a remarkable progress in the field of HSI clas...Show More

Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

Runmin Lei;Chunju Zhang;Wencong Liu;Lei Zhang;Xueying Zhang;Yucheng Yang;Jianwei Huang;Zhenxuan Li;Zhiyi Zhou

Year: 2021 | Volume: 14 | Journal Article |

Sensing Sea Ice Based on Doppler Spread Analysis of Spaceborne GNSS-R Data

Yongchao Zhu;Tingye Tao;Kegen Yu;Zhenxuan Li;Xiaochuan Qu;Zhourun Ye;Jun Geng;Jingui Zou;Maximilian Semmling;Jens Wickert

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Year: 2020 | Volume: 13 | Journal Article |
Cited by: Papers (29)
The spaceborne Global Navigation Satellite System-Reflectometry (GNSS-R) delay-Doppler map (DDM) data collected over ocean carry typical feature information about the ocean surface, which may be covered by open water, mixed water/ice, complete ice, etc. A new method based on Doppler spread analysis is proposed to remotely sense sea ice using the spaceborne GNSS-R data collected over the Northern a...Show More

Sensing Sea Ice Based on Doppler Spread Analysis of Spaceborne GNSS-R Data

Yongchao Zhu;Tingye Tao;Kegen Yu;Zhenxuan Li;Xiaochuan Qu;Zhourun Ye;Jun Geng;Jingui Zou;Maximilian Semmling;Jens Wickert

Year: 2020 | Volume: 13 | Journal Article |

Change Detection Based on Gabor Wavelet Features for Very High Resolution Remote Sensing Images

Zhenxuan Li;Wenzhong Shi;Hua Zhang;Ming Hao

IEEE Geoscience and Remote Sensing Letters
Year: 2017 | Volume: 14, Issue: 5 | Journal Article |
Cited by: Papers (70)
In this letter, we propose a change detection method based on Gabor wavelet features for very high resolution (VHR) remote sensing images. First, Gabor wavelet features are extracted from two temporal VHR images to obtain spatial and contextual information. Then, the Gabor-wavelet-based difference measure (GWDM) is designed to generate the difference image. In GWDM, a new local similarity measure ...Show More

Change Detection Based on Gabor Wavelet Features for Very High Resolution Remote Sensing Images

Zhenxuan Li;Wenzhong Shi;Hua Zhang;Ming Hao

Year: 2017 | Volume: 14, Issue: 5 | Journal Article |

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