Search Results - "Duan, Puhong"

Self-supervised learning-based oil spill detection of hyperspectral images by Duan, PuHong, Xie, ZhuoJun, Kang, XuDong, Li, ShuTao

“…Oil spill monitoring in remote sensing field has become a very popular technology to detect the spatial distribution of polluted regions. However, previous…”
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Detection and Correction of Mislabeled Training Samples for Hyperspectral Image Classification by Kang, Xudong, Duan, Puhong, Xiang, Xuanlin, Li, Shutao, Benediktsson, Jon Atli

“…In this paper, a novel method is introduced to detect and correct mislabeled training samples for hyperspectral image classification. First, domain transform…”
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Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics by Mosavi, Amirhosein, Faghan, Yaser, Ghamisi, Pedram, Duan, Puhong, Ardabili, Sina Faizollahzadeh, Salwana, Ely, Band, Shahab S.

“…The popularity of deep reinforcement learning (DRL) applications in economics has increased exponentially. DRL, through a wide range of capabilities from…”
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Multi-View Structural Feature Extraction for Hyperspectral Image Classification by Liang, Nannan, Duan, Puhong, Xu, Haifeng, Cui, Lin

“…The hyperspectral feature extraction technique is one of the most popular topics in the remote sensing community. However, most hyperspectral feature…”
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Data Science in Economics: Comprehensive Review of Advanced Machine Learning and Deep Learning Methods by Nosratabadi, Saeed, Mosavi, Amirhosein, Duan, Puhong, Ghamisi, Pedram, Filip, Ferdinand, Band, Shahab, Reuter, Uwe, Gama, Joao, Gandomi, Amir

“…This paper provides a comprehensive state-of-the-art investigation of the recent advances in data science in emerging economic applications. The analysis is…”
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Multi-Scale Superpixel-Guided Structural Profiles for Hyperspectral Image Classification by Wang, Nanlan, Zeng, Xiaoyong, Duan, Yanjun, Deng, Bin, Mo, Yan, Xie, Zhuojun, Duan, Puhong

“…Hyperspectral image classification has received a lot of attention in the remote sensing field. However, most classification methods require a large number of…”
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Multilevel Structure Extraction-Based Multi-Sensor Data Fusion by Duan, Puhong, Kang, Xudong, Ghamisi, Pedram, Liu, Yu

“…Multi-sensor data on the same area provide complementary information, which is helpful for improving the discrimination capability of classifiers. In this…”
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Mixed Noise Removal for Hyperspectral Image With }- }SSTV Regularization by Zhang, Li, Qian, Yan, Han, Jingmin, Duan, Puhong, Ghamisi, Pedram

“…Hyperspectral images (HSIs) are usually corrupted by various types of mixed noises, which degrades the qualities of acquired images and limits the subsequent…”
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Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping by Duan, Puhong, Lai, Jibao, Ghamisi, Pedram, Kang, Xudong, Jackisch, Robert, Kang, Jian, Gloaguen, Richard

“…Combining both spectral and spatial information with enhanced resolution provides not only elaborated qualitative information on surfacing mineralogy but also…”
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EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform by Wu, Wanneng, Liu, Ao, Hu, Jianwen, Mo, Yan, Xiang, Shao, Duan, Puhong, Liang, Qiaokang

“…Crafting an edge-based real-time object detector for unmanned aerial vehicle (UAV) aerial images is challenging because of the limited computational resources…”
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The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials by Ghamisi, Pedram, Shahi, Kasra Rafiezadeh, Duan, Puhong, Rasti, Behnood, Lorenz, Sandra, Booysen, Rene, Thiele, Sam, Contreras, Isabel Cecilia, Kirsch, Moritz, Gloaguen, Richard

“…The digitization and automation of the raw material sector is required to attain the targets set by the Paris Agreements and support the sustainable…”
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Dual-Attention-Driven Multiscale Fusion Object Searching Network for Remote Sensing Imagery by Fu, Haolong, Li, Qingpeng, Duan, Puhong, Lin, Jiacheng, Dian, Renwei, Li, Shutao, Kang, Xudong, Li, Zhiyong

“…Object search is a challenging yet important task. Many efforts have been made to address this issue and achieve great progress in natural image, yet searching…”
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A Two-Stage Multi-Focus Image Fusion Framework Robust to Image Mis-Registration by Ji, Zhaoyang, Kang, Xudong, Zhang, Kunzhong, Duan, Puhong, Hao, Qiaobo

“…Multi-focus image fusion technique is to yield a composite image with all objects in focus. However, most of fusion methods do not obtain the satisfactory…”
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Hyperspectral Anomaly Detection With Kernel Isolation Forest by Li, Shutao, Zhang, Kunzhong, Duan, Puhong, Kang, Xudong

“…In this article, a novel hyperspectral anomaly detection method with kernel Isolation Forest (iForest) is proposed. The method is based on an assumption that…”
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Fusion of Dual Spatial Information for Hyperspectral Image Classification by Duan, Puhong, Ghamisi, Pedram, Kang, Xudong, Rasti, Behnood, Li, Shutao, Gloaguen, Richard

“…The inclusion of spatial information into spectral classifiers for fine-resolution hyperspectral imagery has led to significant improvements in terms of…”
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Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector by Duan, Puhong, Kang, Xudong, Ghamisi, Pedram, Li, Shutao

“…Oil spill detection has attracted increasing attention in recent years since marine oil spill accidents severely affect environments, natural resources, and…”
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Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast by Kang, Jian, Fernandez-Beltran, Ruben, Duan, Puhong, Liu, Sicong, Plaza, Antonio J.

“…Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data…”
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Shadow Removal of Hyperspectral Remote Sensing Images With Multiexposure Fusion by Duan, Puhong, Hu, Shangsong, Kang, Xudong, Li, Shutao

“…Shadow removal is a challenging problem in hyperspectral remote sensing images due to its spatial-variant properties and diverse patterns. In this work, a…”
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A novel infrared and visible image fusion algorithm based on shift-invariant dual-tree complex shearlet transform and sparse representation by Yin, Ming, Duan, Puhong, Liu, Wei, Liang, Xiangyu

“…In this paper, a novel shift-invariant dual-tree complex shearlet transform (SIDCST) is constructed and applied to infrared and visible image fusion. Firstly,…”
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Hyperspectral image visualization with edge-preserving filtering and principal component analysis by Kang, Xudong, Duan, Puhong, Li, Shutao

“…•A global and local information based visualization framework is proposed.•Edge-preserving filtering is first adopted to visualize hyperspectral…”
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