Search Results - "Du, Bo"

A Discriminative Metric Learning Based Anomaly Detection Method by Du, Bo, Zhang, Liangpei

“…Due to the high spectral resolution, anomaly detection from hyperspectral images provides a new way to locate potential targets in a scene, especially those…”
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Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images by Du, Bo, Ru, Lixiang, Wu, Chen, Zhang, Liangpei

“…Change detection has been a hotspot in the remote sensing technology for a long time. With the increasing availability of multi-temporal remote sensing images,…”
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Spectral-Spatial Unified Networks for Hyperspectral Image Classification by Xu, Yonghao, Zhang, Liangpei, Du, Bo, Zhang, Fan

“…In this paper, we propose a spectral-spatial unified network (SSUN) with an end-to-end architecture for the hyperspectral image (HSI) classification. Different…”
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Boundary-Weighted Domain Adaptive Neural Network for Prostate MR Image Segmentation by Zhu, Qikui, Du, Bo, Yan, Pingkun

“…Accurate segmentation of the prostate from magnetic resonance (MR) images provides useful information for prostate cancer diagnosis and treatment. However,…”
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Scene Classification via a Gradient Boosting Random Convolutional Network Framework by Zhang, Fan, Du, Bo, Zhang, Liangpei

“…Due to the recent advances in satellite sensors, a large amount of high-resolution remote sensing images is now being obtained each day. How to automatically…”
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Saliency-Guided Unsupervised Feature Learning for Scene Classification by Zhang, Fan, Du, Bo, Zhang, Liangpei

“…Due to the rapid technological development of various different satellite sensors, a huge volume of high-resolution image data sets can now be acquired. How to…”
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A Low-Rank and Sparse Matrix Decomposition-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection by Zhang, Yuxiang, Du, Bo, Zhang, Liangpei, Wang, Shugen

“…Anomaly detection is playing an increasingly important role in hyperspectral image (HSI) processing. The traditional anomaly detection methods mainly extract…”
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An enhanced black widow optimization algorithm for feature selection by Hu, Gang, Du, Bo, Wang, Xiaofeng, Wei, Guo

“…Feature selection is an important data processing method to reduce dimension of the raw datasets while preserving the information as much as possible. In this…”
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Anti-periodic solutions problem for inertial competitive neutral-type neural networks via Wirtinger inequality by Du, Bo

“…By using the Wirtinger inequality and topology degree theory, we investigate the anti-periodic solutions problem for inertial competitive neutral-type neural…”
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Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network by Chen, Hongruixuan, Wu, Chen, Du, Bo, Zhang, Liangpei, Wang, Le

“…With the rapid development of Earth observation technology, very-high-resolution (VHR) images from various satellite sensors are more available, which greatly…”
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A post-classification change detection method based on iterative slow feature analysis and Bayesian soft fusion by Wu, Chen, Du, Bo, Cui, Xiaohui, Zhang, Liangpei

“…Post-classification with multi-temporal remote sensing images is one of the most popular change detection methods, providing the detailed “from-to” change…”
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Weakly Supervised Learning Based on Coupled Convolutional Neural Networks for Aircraft Detection by Zhang, Fan, Du, Bo, Zhang, Liangpei, Xu, Miaozhong

“…Aircraft detection from very high resolution (VHR) remote sensing images has been drawing increasing interest in recent years due to the successful civil and…”
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Random-Selection-Based Anomaly Detector for Hyperspectral Imagery by Du, Bo, Zhang, Liangpei

“…Anomaly detection in hyperspectral images is of great interest in the target detection domain since it requires no prior information and makes full use of the…”
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Multiscale Dynamic Graph Convolutional Network for Hyperspectral Image Classification by Wan, Sheng, Gong, Chen, Zhong, Ping, Du, Bo, Zhang, Lefei, Yang, Jian

“…Convolutional neural network (CNN) has demonstrated impressive ability to represent hyperspectral images and to achieve promising results in hyperspectral…”
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Unsupervised domain adaptive re-identification: Theory and practice by Song, Liangchen, Wang, Cheng, Zhang, Lefei, Du, Bo, Zhang, Qian, Huang, Chang, Wang, Xinggang

“…•We introduce the theoretical guarantees of unsupervised domain adaptive re-ID based on [2]. A DA-learnability result is shown under three assumptions that…”
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Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network by Wu, Chen, Chen, Hongruixuan, Du, Bo, Zhang, Liangpei

“…With the development of Earth observation technology, a very-high-resolution (VHR) image has become an important data source of change detection (CD). These…”
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Beyond the Sparsity-Based Target Detector: A Hybrid Sparsity and Statistics-Based Detector for Hyperspectral Images by Du, Bo, Zhang, Yuxiang, Zhang, Liangpei, Tao, Dacheng

“…Hyperspectral images provide great potential for target detection, however, new challenges are also introduced for hyperspectral target detection, resulting…”
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Slow Feature Analysis for Change Detection in Multispectral Imagery by Wu, Chen, Du, Bo, Zhang, Liangpei

“…Change detection was one of the earliest and is also one of the most important applications of remote sensing technology. For multispectral images, an…”
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Dimensionality Reduction and Classification of Hyperspectral Images Using Ensemble Discriminative Local Metric Learning by Dong, Yanni, Du, Bo, Zhang, Liangpei, Zhang, Lefei

“…The high-dimensional data space of hyperspectral images (HSIs) often result in ill-conditioned formulations, which finally leads to many of the…”
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Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning by Chen, Hongruixuan, Yokoya, Naoto, Wu, Chen, Du, Bo

“…Unsupervised multimodal change detection is a practical and challenging topic that can play an important role in time-sensitive emergency applications. To…”
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