Search Results - "Du, Qian"

Collaborative Representation for Hyperspectral Anomaly Detection by Li, Wei, Du, Qian

“…In this paper, collaborative representation is proposed for anomaly detection in hyperspectral imagery. The algorithm is directly based on the concept that…”
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GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection by Wang, Qi, Yuan, Zhenghang, Du, Qian, Li, Xuelong

“…Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the…”
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Diverse Region-Based CNN for Hyperspectral Image Classification by Zhang, Mengmeng, Li, Wei, Du, Qian

“…Convolutional neural network (CNN) is of great interest in machine learning and has demonstrated excellent performance in hyperspectral image classification…”
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Hyperspectral Image Classification Using Deep Pixel-Pair Features by Li, Wei, Wu, Guodong, Zhang, Fan, Du, Qian

“…The deep convolutional neural network (CNN) is of great interest recently. It can provide excellent performance in hyperspectral image classification when the…”
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Similarity-Based Unsupervised Band Selection for Hyperspectral Image Analysis by Du, Qian, Yang, He

“…Band selection is a common approach to reduce the data dimensionality of hyperspectral imagery. It extracts several bands of importance in some sense by taking…”
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Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification by Li, Wei, Chen, Chen, Su, Hongjun, Du, Qian

“…It is of great interest in exploiting texture information for classification of hyperspectral imagery (HSI) at high spatial resolution. In this paper, a…”
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Robust Joint Sparse Representation Based on Maximum Correntropy Criterion for Hyperspectral Image Classification by Peng, Jiangtao, Du, Qian

“…Joint sparse representation (JSR) has been a popular technique for hyperspectral image classification, where a testing pixel and its spatial neighbors are…”
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Transferred Deep Learning for Anomaly Detection in Hyperspectral Imagery by Li, Wei, Wu, Guodong, Du, Qian

“…In this letter, a novel anomaly detection framework with transferred deep convolutional neural network (CNN) is proposed. The framework is designed by…”
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Modified Fisher's Linear Discriminant Analysis for Hyperspectral Imagery by Du, Qian

“…In this letter, we present a modified Fisher's linear discriminant analysis (MFLDA) for dimension reduction in hyperspectral remote sensing imagery. The basic…”
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Combined sparse and collaborative representation for hyperspectral target detection by Li, Wei, Du, Qian, Zhang, Bing

“…A novel algorithm that combines sparse and collaborative representation is proposed for target detection in hyperspectral imagery. Target detection is achieved…”
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Multisource Remote Sensing Data Classification Based on Convolutional Neural Network by Xu, Xiaodong, Li, Wei, Ran, Qiong, Du, Qian, Gao, Lianru, Zhang, Bing

“…As a list of remotely sensed data sources is available, how to efficiently exploit useful information from multisource data for better Earth observation…”
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Caps-TripleGAN: GAN-Assisted CapsNet for Hyperspectral Image Classification by Wang, Xue, Tan, Kun, Du, Qian, Chen, Yu, Du, Peijun

“…The increase in the spectral and spatial information of hyperspectral imagery poses challenges in classification due to the fact that spectral bands are highly…”
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Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN by Zhang, Mengmeng, Li, Wei, Du, Qian, Gao, Lianru, Zhang, Bing

“…Multisensor fusion is of great importance in Earth observation related applications. For instance, hyperspectral images (HSIs) provide wealthy spectral…”
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Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis by Qian Du, Fowler, J.E.

“…Principal component analysis (PCA) is deployed in JPEG2000 to provide spectral decorrelation as well as spectral dimensionality reduction. The proposed scheme…”
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Guest Editorial Message From Editor-in-Chief by Du, Qian

“…This volume of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS) marks a new milestone as J-STARS has become a…”
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Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks by Mei, Shaohui, Ji, Jingyu, Hou, Junhui, Li, Xu, Du, Qian

“…Convolutional neural network (CNN) is well known for its capability of feature learning and has made revolutionary achievements in many applications, such as…”
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Laplacian Regularized Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery by Li, Wei, Du, Qian

“…Collaborative graph-based discriminant analysis (CGDA) has been recently proposed for dimensionality reduction and classification of hyperspectral imagery,…”
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Low-Rank Subspace Representation for Estimating the Number of Signal Subspaces in Hyperspectral Imagery by Sumarsono, Alex, Qian Du

“…In this paper, we consider signal subspace estimation based on low-rank representation for hyperspectral imagery. It is often assumed that major signal sources…”
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Sparse and Low-Rank Graph for Discriminant Analysis of Hyperspectral Imagery by Li, Wei, Liu, Jiabin, Du, Qian

“…Recently, sparse graph-based discriminant analysis (SGDA) has been developed for the dimensionality reduction and classification of hyperspectral imagery. In…”
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An improved box-counting method for image fractal dimension estimation by Li, Jian, Du, Qian, Sun, Caixin

“…Fractal dimension (FD) is a useful feature for texture segmentation, shape classification, and graphic analysis in many fields. The box-counting approach is…”
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