68 hasil untuk "Zebin Wu"
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Artikel Jurnal
Design of a new clean and comfortable temperature-sensitive polyethylene-based copolymer textile
With the rapid development of science and technology, compared with traditional textiles, which provide basic functions such as shelter from the body and cold, intelligent textiles can create a more comfortable and safe environment for people, improve work efficiency and meet people’s demand for…
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Combined Recommendation Algorithm Based on Improved Similarity and Forgetting Curve
The recommendation algorithm in e-commerce systems is faced with the problem of high sparsity of users’ score data and interest’s shift, which greatly affects the performance of recommendation. Hence, a combined recommendation algorithm based on improved similarity and forgetting curve is proposed…
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Artikel Jurnal Teks lengkap
Classification of Hyperspectral Images Using Kernel Fully Constrained Least Squares
As a widely used classifier, sparse representation classification (SRC) has shown its good performance for hyperspectral image classification. Recent works have highlighted that it is the collaborative representation mechanism under SRC that makes SRC a highly effective technique for classification…
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Artikel Jurnal
Crossed Dual-Branch U-Net for Hyperspectral Image Super-Resolution
Hyperspectral images have gained great achievements in many fields, but their low spatial resolution limits the effectiveness in applications. Hyperspectral image super-resolution has emerged as a popular research trend, where high-resolution hyperspectral images are obtained via combining…
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Artikel Jurnal
Spatial–Spectral Involution MLP Network for Hyperspectral Image Classification
Recently, more and more multilayer perceptron (MLP) like models have been proposed. Among them, CycleMLP is good at dense feature prediction tasks, which is potentially useful for hyperspectral image (HSI) classification. However, the receptive field of CycleMLP tends to be cross-shaped, which will…
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Remote Sensing Image Scene Classification via Self-Supervised Learning and Knowledge Distillation
The main challenges of remote sensing image scene classification are extracting discriminative features and making full use of the training data. The current mainstream deep learning methods usually only use the hard labels of the samples, ignoring the potential soft labels and natural labels…
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Learning Pairwise Potential CRFs in Deep Siamese Network for Change Detection
Very high resolution (VHR) images change detection plays an important role in many remote sensing applications, such as military reconnaissance, urban planning and natural resource monitoring. Recently, fully connected conditional random field (FCCRF)-facilitated deep convolutional neural networks…
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Region-Based Relaxed Multiple Kernel Collaborative Representation for Hyperspectral Image Classification
This paper presents a region-based relaxed multiple kernel collaborative representation method for the spatial-spectral classification of hyperspectral images. The proposed method consists of three steps. In the first step, a multiscale method achieved by extending a superpixel segmentation…
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Artikel Jurnal
A Model-Inspired Approach With Transformers for Hyperspectral Pansharpening
Hyperspectral pansharpening is a method of integrating a low-resolution hyperspectral image with a high-resolution panchromatic image to produce a high-resolution hyperspectral image. In recent years, a number of hyperspectral pansharpening methods have been developed by using convolutional neural…
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Artikel Jurnal
A Novel Weighted Cross Total Variation Method for Hyperspectral Image Mixed Denoising
Due to atmospheric effects and secondary illumination, hyperspectral images (HSIs) usually suffer from system noises, stripes, and dead pixels, which greatly degrade the imaging quality and limit the precision of the subsequent processing. In this paper, a novel HSI mixed denoising method based on…
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Artikel Jurnal Teks lengkap
A Novel 3D Anisotropic Total Variation Regularized Low Rank Method for Hyperspectral Image Mixed Denoising
Known to be structured in several patterns at the same time, the prior image of interest is always modeled with the idea of enforcing multiple constraints on unknown signals. For instance, when dealing with a hyperspectral restoration problem, the combination of constraints with piece-wise…
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Artikel Jurnal
Calculation of Shear Capacity of Plastic Hinge Zone of Hydraulic Reinforced Concrete Column
In view of the flexural-shear failure of the plastic hinge zone of hydraulic reinforced concrete (RC) columns during earthquake, the shear capacity of the plastic hinge zone of hydraulic RC columns was studied. And, the quasi-static test data of 19 rectangular sections and 19 circular sections of…
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Artikel Jurnal
Evaluating the effectiveness of food security policies in China: a PMC-Index model approach
Abstract Conducting a multidimensional quantitative analysis of food security policy texts forms the basis for accurately grasping the food security situation and rationally formulating and optimizing national food security policies. This study quantitatively analyzes 218 food security policy texts…
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Artikel Jurnal
An IMU dataset for human thermal comfort activities identification: Experimental designs and applications
Thermal comfort of occupants is key feedback information for improving indoor environment and managing building energy use. Through analyzing inertial measurement units (IMU) data from wearable devices with machine learning, thermal comfort of occupants can be detected in a non- intrusive method…
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Artikel Jurnal Teks lengkap
Weakly Supervised Object Detection for Remote Sensing Images via Progressive Image-Level and Instance-Level Feature Refinement
Weakly supervised object detection (WSOD) aims to predict a set of bounding boxes and corresponding category labels for instances with only image-level supervisions. Compared with fully supervised object detection, WSOD in remote sensing images (RSIs) is much more challenging due to the vast…
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Artikel Jurnal
Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN
Deep learning-based methods based on convolutional neural networks (CNNs) have demonstrated remarkable performance in hyperspectral image (HSI) classification. Most of these approaches are only based on 2-D CNN or 3-D CNN. It is dramatic from the literature that using just 2-D CNN may result in…
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Artikel Jurnal
SPANet: Successive Pooling Attention Network for Semantic Segmentation of Remote Sensing Images
In the convolutional neural network, the precise segmentation of small-scale objects and object boundaries in remote sensing images is a great challenge. As the model gets deeper, low-level features with geometric information and high-level features with semantic information cannot be obtained…
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Artikel Jurnal
Horizontal Box Supervised Oriented Object Detection Based on Edge Feature Self-Attention and Multitask Synthetic Visual Patterns
With the advancement of object detection, oriented object detection is gradually replacing horizontal object detection as the preferred solution in remote sensing images. However, most existing datasets are annotated with horizontal bounding boxes, while re-annotating these datasets is both costly…
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Artikel Jurnal
More Accurate Constraints for Self-Supervised Learning in Remote Sensing Images-Based Object Detection
Self-supervised learning (SSL) automatically generates internal labels by exploring the potential auxiliary task of the network itself, and trains the same model through these annotations to learn the latent representation of the data, which greatly improves the accuracy of object detection in…
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Artikel Jurnal
Range–Null Space Decomposition With Frequency-Oriented Mamba for Spectral Superresolution
Spectral superresolution (SSR) is a technique aimed at reconstructing hyperspectral images (HSIs) from images with low spectral resolution. Previous methods combining mathematical models with deep learning have shown promising performance for HSI reconstruction. However, these methods still have…