Search Results - "Luyan Ji"

Construction of the 500‐m Resolution Daily Global Surface Water Change Database (2001–2016) by Ji, Luyan, Gong, Peng, Wang, Jie, Shi, Jiancheng, Zhu, Zhiliang

“…Surface water is the most dynamic land‐cover type. Transitions between water and nonwater types (such as vegetation and ice) can happen momentarily. More…”
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A Fast Volume-Gradient-Based Band Selection Method for Hyperspectral Image by Geng, Xiurui, Sun, Kang, Ji, Luyan, Zhao, Yongchao

“…In this paper, a subtle relationship is found between the volume of a subsimplex and the volume gradient of a simplex with respect to hyperspectral images. By…”
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Hyperspectral Target Detection Methods Based on Statistical Information: The Key Problems and the Corresponding Strategies by Ji, Luyan, Geng, Xiurui

“…Target detection is an important area in the applications of hyperspectral remote sensing. Due to the full use of information of the target and background,…”
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Exemplar Component Analysis: A Fast Band Selection Method for Hyperspectral Imagery by Sun, Kang, Geng, Xiurui, Ji, Luyan

“…How to find the representative bands is a key issue in band selection for hyperspectral data. Very often, unsupervised band selection is associated with data…”
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A New Sparsity-Based Band Selection Method for Target Detection of Hyperspectral Image by Sun, Kang, Geng, Xiurui, Ji, Luyan

“…Band selection (BS) plays an important role in the dimensionality reduction of hyperspectral data. However, as to the existing BS methods, few are specially…”
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Analysis of the Substantial Growth of Water Bodies during the Urbanization Process Using Landsat Imagery—A Case Study of the Lixiahe Region, China by Jiang, Haoran, Ji, Luyan, Yu, Kai, Zhao, Yongchao

“…In the process of urbanization, water bodies bear considerable anthropogenic pressure, resulting in a reduction of their surface area in most instances…”
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Ensemble coding of multiple facial expressions is not affected by attentional load by Liu, Yujuan, Ji, Luyan

“…Human observers can extract the mean emotion from multiple faces rapidly and precisely. However, whether attention is required in the ensemble coding of facial…”
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The Spatio-Temporal Variation of Vegetation and Its Driving Factors during the Recent 20 Years in Beijing by Chen, Siya, Ji, Luyan, Li, Kexin, Zhang, Peng, Tang, Hairong

“…As the most important city in China, Beijing has experienced an economic soar, large-scale population growth and eco-environment changes in the last 20 years…”
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Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data by Gong, Peng, Wang, Jie, Yu, Le, Zhao, Yongchao, Zhao, Yuanyuan, Liang, Lu, Niu, Zhenguo, Huang, Xiaomeng, Fu, Haohuan, Liu, Shuang, Li, Congcong, Li, Xueyan, Fu, Wei, Liu, Caixia, Xu, Yue, Wang, Xiaoyi, Cheng, Qu, Hu, Luanyun, Yao, Wenbo, Zhang, Han, Zhu, Peng, Zhao, Ziying, Zhang, Haiying, Zheng, Yaomin, Ji, Luyan, Zhang, Yawen, Chen, Han, Yan, An, Guo, Jianhong, Yu, Liang, Wang, Lei, Liu, Xiaojun, Shi, Tingting, Zhu, Menghua, Chen, Yanlei, Yang, Guangwen, Tang, Ping, Xu, Bing, Giri, Chandra, Clinton, Nicholas, Zhu, Zhiliang, Chen, Jin, Chen, Jun

“…We have produced the first 30 m resolution global land-cover maps using Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM+) data. We have…”
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Hyperspectral Image Denoising Based on Principal-Third-Order-Moment Analysis by Li, Shouzhi, Geng, Xiurui, Zhu, Liangliang, Ji, Luyan, Zhao, Yongchao

“…Denoising serves as a critical preprocessing step for the subsequent analysis of the hyperspectral image (HSI). Due to their high computational efficiency,…”
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Hyperspectral Band Selection via Joint Volume Gradient by Xiao, Songyi, Zhu, Liangliang, Li, Shouzhi, Ji, Luyan, Geng, Xiurui

“…Unsupervised band selection (BS) is a crucial research direction in the domain of hyperspectral image (HSI) processing. In recent years, volume-based criteria…”
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Cloud probability distribution of typical urban agglomerations in China based on Sentinel-2 satellite remote sensing by Ling, Jing, Liu, Rui, Wei, Shan, Chen, Shaomei, Ji, Luyan, Zhao, Yongchao, Zhang, Hongsheng

“…•Mapping high-resolution cloud distribution across China using satellite images.•Revealing significant differences in cloud distribution among urban…”
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Individual Faces Were Not Discarded During Extracting Mean Emotion Representations by Li, Huiyun, Ji, Luyan, Li, Qitian, Chen, Wenfeng

“…Individuals can perceive the mean emotion or mean identity of a group of faces. It has been considered that individual representations are discarded when…”
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Automated Small River Mapping (ASRM) for the Qinghai-Tibet Plateau Based on Sentinel-2 Satellite Imagery and MERIT DEM by Liang, Xiangan, Mao, Wei, Yang, Kang, Ji, Luyan

“…The dynamic variation in the water surfaces of the river networks within the Qinghai-Tibet Plateau affects the water resource availability for downstream…”
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Improving the Accuracy of the Water Surface Cover Type in the 30 m FROM-GLC Product by Ji, Luyan, Gong, Peng, Geng, Xiurui, Zhao, Yongchao

“…The finer resolution observation and monitoring of the global land cover (FROM-GLC) product makes it the first 30 m resolution global land cover product from…”
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A Method for Extracting Photovoltaic Panels from High-Resolution Optical Remote Sensing Images Guided by Prior Knowledge by Liu, Wenqing, Huo, Hongtao, Ji, Luyan, Zhao, Yongchao, Liu, Xiaowen, Li, Jing

“…The extraction of photovoltaic (PV) panels from remote sensing images is of great significance for estimating the power generation of solar photovoltaic…”
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Visual Mismatch Negativity Reflects Enhanced Response to the Deviant: Evidence From Event-Related Potentials and Electroencephalogram Time-Frequency Analysis by Zeng, Xianqing, Ji, Luyan, Liu, Yanxiu, Zhang, Yue, Fu, Shimin

“…Automatic detection of information changes in the visual environment is crucial for individual survival. Researchers use the oddball paradigm to study the…”
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Identify Informative Bands for Hyperspectral Target Detection Using the Third-Order Statistic by Geng, Xiurui, Wang, Lei, Ji, Luyan

“…Constrained energy minimization (CEM) has been proposed and widely researched in the field of hyperspectral target detection. Generally, it selects one of the…”
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A Flexible Spatiotemporal Thick Cloud Removal Method with Low Requirements for Reference Images by Zhang, Yu, Ji, Luyan, Xu, Xunpeng, Zhang, Peng, Jiang, Kang, Tang, Hairong

“…Thick cloud and shadows have a significant impact on the availability of optical remote sensing data. Although various methods have been proposed to address…”
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Thick Cloud Removal in Multi-Temporal Remote Sensing Images via Frequency Spectrum-Modulated Tensor Completion by Chen, Zhihong, Zhang, Peng, Zhang, Yu, Xu, Xunpeng, Ji, Luyan, Tang, Hairong

“…Clouds often contaminate remote sensing images, which leads to missing land feature information and subsequent application degradation. Low-rank tensor…”
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