Search Results - "Geng, Xiurui"

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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FusionHeightNet: A Multi-Level Cross-Fusion Method from Multi-Source Remote Sensing Images for Urban Building Height Estimation by Ma, Chao, Zhang, Yueting, Guo, Jiayi, Zhou, Guangyao, Geng, Xiurui

“…Extracting buildings in urban scenes from remote sensing images is crucial for the construction of digital cities, urban monitoring, urban planning, and…”
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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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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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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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CEM: More Bands, Better Performance by Geng, Xiurui, Ji, Luyan, Sun, Kang, Zhao, Yongchao

“…Target detection has recently drawn considerable interest in hyperspectral image processing. People tend to exclude corrupted or badly damaged bands before…”
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Pen Culture Detection Using Filter Tensor Analysis with Multi-Temporal Landsat Imagery by Xi, Yanxin, Ji, Luyan, Geng, Xiurui

“…Aquaculture plays an important role in China’s total fisheries production nowadays, and it leads to a few problems, for example water quality degradation,…”
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Target Detection Method for Water Mapping Using Landsat 8 OLI/TIRS Imagery by Ji, Luyan, Geng, Xiurui, Sun, Kang, Zhao, Yongchao, Gong, Peng

“…Extracting surface water distribution with satellite imagery has been an important subject in remote sensing. Spectral indices of water only use information…”
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An efficient unsupervised band selection method based on an autocorrelation matrix for a hyperspectral image by Sun, Kang, Geng, Xiurui, Ji, Luyan

“…In the field of unsupervised band selection, minimum linear prediction (LP) error is a commonly used criterion function. To avoid the large computational…”
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Optimizing the Endmembers Using Volume Invariant Constrained Model by Geng, Xiurui, Sun, Kang, Ji, Luyan, Zhao, Yongchao, Tang, Hairong

“…The linear mixture model (LMM) plays a crucial role in the spectral unmixing of hyperspectral data. Under the assumption of LMM, the solution with the minimum…”
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Statistical Volume Analysis: A New Endmember Extraction Method for Multi/Hyperspectral Imagery by Geng, Xiurui, Ji, Luyan, Wang, Fuxiang, Zhao, Yongchao, Gong, Peng

“…Simplex volume is the most commonly used parameter for endmember extraction. However, when outliers exist in the image, the maximum-volume-criterion…”
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Principal Skewness Analysis: Algorithm and Its Application for Multispectral/Hyperspectral Images Indexing by Geng, Xiurui, Ji, Luyan, Sun, Kang

“…In this letter, we present a new feature extraction approach based on third-order statistics (coskewness tensor) called principal skewness analysis (PSA). PSA…”
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A Fast Endmember Extraction Algorithm Based on Gram Determinant by Sun, Kang, Geng, Xiurui, Wang, Panshi, Zhao, Yongchao

“…In the field of endmember extraction, most methods involve calculating the volume of simplex in high-dimensional space. Two different simplex volume formulas…”
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A band selection approach for small target detection based on CEM by Sun, Kang, Geng, Xiurui, Ji, Luyan

“…Constrained energy minimization (CEM) is one of the most widely used target detection methods due to its simplicity and effectiveness. From a mathematical…”
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A Gaussian elimination based fast endmember extraction algorithm for hyperspectral imagery by Geng, Xiurui, Xiao, Zhengqing, Ji, Luyan, Zhao, Yongchao, Wang, Fuxiang

“…A fast endmember-extraction algorithm based on Gaussian Elimination Method (GEM) is proposed in this paper under the fact that a pixel is an endmember if it…”
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A Small Target Detection Method for the Hyperspectral Image Based on Higher Order Singular Value Decomposition (HOSVD) by Geng, Xiurui, Ji, Luyan, Zhao, Yongchao, Wang, Fuxiang

“…This letter proposes a small target detection method for the hyperspectral image based on higher order statistics. This method first calculates the coskewness…”
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