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