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学者姓名:邹长武

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Hyperspectral image change detection based on an improved multi-scale and spectral-wise transformer SCIE
期刊论文 | 2024 , 45 (6) , 1903-1924 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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Abstract :

Change detection (CD) has a significant application in the remote sensing field. Because of the popularity of hyperspectral image (HSI) and the application of deep learning methods, hyperspectral image change detection (HSI-CD) techniques have been greatly developed. Among them, convolutional neural network (CNN) has garnered the greatest interest in HSI-CD due to their superior feature learning capabilities. However, current CNN-based algorithms have trouble capturing spectral similarity and long-range dependency owing to their intrinsic structural restrictions. Recently, transformers have been shown to extract global dependency from nature images in an extremely efficient way. But it has some difficulties in handling high-dimensional data, such as HSI. To address these issues, we propose an improved multi-scale and spectral-wise transformer (MS-SWT). The proposed MS-SWT is capable of capturing spectral similarity and long-range dependence between bands to enhance the efficiency of the HSI-CD task. Furthermore, to maximize the utilization of spatial information, we present a multi-scale feature fusion module (MFFM) to extract and fuse different dimensions of spatial features. More importantly, a locality self-attention (LSA) module is employed to alleviate the problem of smoothing the distribution of attention scores due to the large number of spectral embeddings. Moreover, we design a channel self-supervised loss function that can capture intrinsic information from the spectral channels to further strengthen the robustness of model training when the training samples are scarce. Lastly, comprehensive experiments present the high performance of our MS-SWT on four bitemporal HSI datasets and demonstrate the superiority of MS-SWT over state-of-the-art approaches.

Keyword :

change detection change detection Hyperspectral image Hyperspectral image loss function loss function transformer transformer

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GB/T 7714 Zou, Changzhong , Liang, Wenfeng , Liu, Lei et al. Hyperspectral image change detection based on an improved multi-scale and spectral-wise transformer [J]. | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2024 , 45 (6) : 1903-1924 .
MLA Zou, Changzhong et al. "Hyperspectral image change detection based on an improved multi-scale and spectral-wise transformer" . | INTERNATIONAL JOURNAL OF REMOTE SENSING 45 . 6 (2024) : 1903-1924 .
APA Zou, Changzhong , Liang, Wenfeng , Liu, Lei , Zou, Changwu . Hyperspectral image change detection based on an improved multi-scale and spectral-wise transformer . | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2024 , 45 (6) , 1903-1924 .
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Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction SCIE
期刊论文 | 2024 , 45 (15) , 5095-5112 | INTERNATIONAL JOURNAL OF REMOTE SENSING
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Abstract :

Hyperspectral images can be widely used in many fields due to their high information richness. However, costly and complex imaging spectrometers limit its growth. Hyperspectral reconstruction aims to obtain the corresponding hyperspectral image from the multispectral image, to reduce the acquisition cost of hyperspectral images. At present, the related works mainly use methods based on deep learning, and they have achieved good results. However, how to fully extract the global spectral and spatial features of hyperspectral images is still not well solved. To address these issues, we propose an Attention and Transformer Complementary Fusion Network (ATCFNet), which is composed of three modules: Multi-angle Input Image Processing (MIIP), Deep Feature Extraction (DFE) and Hyperspectral Reconstruction (HR) modules. Within the DFE module, an improved Transformer module and a novel Multi-scale Spatial Attention (MSA) module are proposed to extract the global spectral relationship and the spatial features of the hyperspectral images, respectively. Moreover, the MIIP module is proposed to extract the features of input multispectral images more effectively and comprehensively. To verify these, we compare the proposed ATCFNet with other excellent reconstruction methods on three hyperspectral image datasets. The results show that our method achieves the best results in these datasets. Code is publicly available at https://github.com/kidder314/ATCFNet.

Keyword :

Hyperspectral imaging Hyperspectral imaging image reconstruction image reconstruction image resolution image resolution spatial attention spatial attention transformer transformer

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GB/T 7714 Zou, Changwu , Zhang, Can , Zou, Changzhong . Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction [J]. | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2024 , 45 (15) : 5095-5112 .
MLA Zou, Changwu et al. "Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction" . | INTERNATIONAL JOURNAL OF REMOTE SENSING 45 . 15 (2024) : 5095-5112 .
APA Zou, Changwu , Zhang, Can , Zou, Changzhong . Attention and transformer complementary fusion network for hyperspectral image spectral reconstruction . | INTERNATIONAL JOURNAL OF REMOTE SENSING , 2024 , 45 (15) , 5095-5112 .
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THE CENTER PROBLEM ON PIECEWISE SMOOTH DIFFERENTIAL SYSTEMS WITH TWO ZONES SCIE
期刊论文 | 2023 , 44 (2) , 523-536 | DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS
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Abstract :

In this paper we shall study Sigma-center problem on piecewise smooth systems with two zones divided by a straight line in the real plane. We first give some necessary and sufficient conditions for the crossing Sigma-center by taking advantage of the forms of the first integrals. Then for applications, we completely describe the Sigma-centers from both the algebra and geometry points of view when the both of two sub-systems are linear.

Keyword :

Center problem Center problem E-center E-center piecewise linear systems piecewise linear systems piecewise smooth systems piecewise smooth systems symmetry symmetry

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GB/T 7714 Zou, Changwu , Dong, Guangfeng , Liu, Changjian et al. THE CENTER PROBLEM ON PIECEWISE SMOOTH DIFFERENTIAL SYSTEMS WITH TWO ZONES [J]. | DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS , 2023 , 44 (2) : 523-536 .
MLA Zou, Changwu et al. "THE CENTER PROBLEM ON PIECEWISE SMOOTH DIFFERENTIAL SYSTEMS WITH TWO ZONES" . | DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS 44 . 2 (2023) : 523-536 .
APA Zou, Changwu , Dong, Guangfeng , Liu, Changjian , Yang, Jiazhong . THE CENTER PROBLEM ON PIECEWISE SMOOTH DIFFERENTIAL SYSTEMS WITH TWO ZONES . | DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS , 2023 , 44 (2) , 523-536 .
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基于结构化模型的续贷政策对企业违约风险影响研究 CSSCI CSCD PKU
期刊论文 | 2023 , 31 (12) , 329-339 | 中国管理科学
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Abstract :

本文将停贷冲击视为导致企业资产价值跳跃的现实因素,将续贷政策要素引入结构化信用风险模型中,通过数值模拟和实证分析考察了续贷政策变化对企业违约风险的影响.数值模拟结果表明,贷款期限越长、贷款利率越低、停贷损失越小、续贷成本越低,则企业违约门限值越低,企业违约风险越小.基于全国中小企业股份转让系统挂牌企业数据的实证分析验证了数值模拟结果.异质性分析表明,续贷政策要素对非国有企业有更加明显的影响;停贷损失对所有类型企业的违约风险都有显著影响.影响机制分析表明,续贷政策通过流动性和收益两个渠道影响企业违约风险.本文研究为我国续贷政策实施提供了一个理论解释,对推进宽货币向宽信用传导政策落地具有一定的启示.

Keyword :

新三板 新三板 无还本续贷 无还本续贷 结构化模型 结构化模型 违约风险 违约风险

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GB/T 7714 黄祥钟 , 邹长武 , 高渊 . 基于结构化模型的续贷政策对企业违约风险影响研究 [J]. | 中国管理科学 , 2023 , 31 (12) : 329-339 .
MLA 黄祥钟 et al. "基于结构化模型的续贷政策对企业违约风险影响研究" . | 中国管理科学 31 . 12 (2023) : 329-339 .
APA 黄祥钟 , 邹长武 , 高渊 . 基于结构化模型的续贷政策对企业违约风险影响研究 . | 中国管理科学 , 2023 , 31 (12) , 329-339 .
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Enhanced Channel Attention Network With Cross-Layer Feature Fusion for Spectral Reconstruction in the Presence of Gaussian Noise SCIE
期刊论文 | 2022 , 15 , 9497-9508 | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
WoS CC Cited Count: 3
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Abstract :

Spectral reconstruction from RGB images has made significant progress. Previous works usually utilized the noise-free RGB images as input to reconstruct the corresponding hyperspectral images (HSIs). However, due to instrumental limitation or atmospheric interference, it is inevitable to suffer from noise (e.g., Gaussian noise) in the actual image acquisition process, which further increases the difficulty of spectral reconstruction. In this article, we propose an enhanced channel attention network (ECANet) to learn a nonlinear mapping from noisy RGB images to clean HSIs. The backbone of our proposed ECANet is stacked with multiple enhanced channel attention (ECA) blocks. The ECA block is the dual residual version of the channel attention block, which makes the network focus on key auxiliary information and features that are more conducive to spectral reconstruction. For the case that the input RGB images are disturbed by Gaussian noise, cross-layer feature fusion unit is used to concatenate the multiple feature maps at different depths for more powerful feature representations. In addition, we design a novel combined loss function as the constraint of the ECANet to achieve more accurate reconstruction result. Experimental results on two HSI benchmarks, CAVE and NTIRE 2020, demonstrate that the effectiveness of our method in terms of both visual and quantitative over other state-of-the-art methods.

Keyword :

combined loss function combined loss function Convolution Convolution Cross layer design Cross layer design Cross-layer feature fusion (CLFF) Cross-layer feature fusion (CLFF) enhanced channel attention (ECA) enhanced channel attention (ECA) Feature extraction Feature extraction Gaussian noise Gaussian noise Hyperspectral imaging Hyperspectral imaging Image reconstruction Image reconstruction spectral reconstruction spectral reconstruction Training Training

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GB/T 7714 Zou, Changwu , Zhang, Can , Wei, Minghui et al. Enhanced Channel Attention Network With Cross-Layer Feature Fusion for Spectral Reconstruction in the Presence of Gaussian Noise [J]. | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2022 , 15 : 9497-9508 .
MLA Zou, Changwu et al. "Enhanced Channel Attention Network With Cross-Layer Feature Fusion for Spectral Reconstruction in the Presence of Gaussian Noise" . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 15 (2022) : 9497-9508 .
APA Zou, Changwu , Zhang, Can , Wei, Minghui , Zou, Changzhong . Enhanced Channel Attention Network With Cross-Layer Feature Fusion for Spectral Reconstruction in the Presence of Gaussian Noise . | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING , 2022 , 15 , 9497-9508 .
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具有无界非线性项的广义逐段常变量微分方程拓扑等价函数的正则性 CSCD PKU
期刊论文 | 2020 , 50 (6) , 847-872 | 中国科学(数学)
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Abstract :

关于微分方程的拓扑等价以及拓扑等价函数的正则性一直是微分方程研究的焦点之一.当非线性项有界时,已经有很多学者证明了微分方程的拓扑等价函数是H(o)lder正则的.然而,当非线性项无界时,拓扑等价的正则性尚无突破性结果.在无界情形下,Zou和Shi (2017)得到了拓扑线性化的条件.除Zou和Shi (2017)给出的条件外,在附加的一个前提下,本文证明拓扑等价函数的H(o)lder正则性.事实上,当系统是有界时,系统线性化的条件足以保证其H(o)lder正则性.但是,当系统是无界时,这个附加条件是必不可少的.本文举例说明这个事实.这是首篇考虑无界系统拓扑等价H(o)lder正则的文章.

Keyword :

微分方程 微分方程 正则性 正则性 逐段常变量微分方程 逐段常变量微分方程

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GB/T 7714 邹长武 , 夏永辉 , Manuel Pinto . 具有无界非线性项的广义逐段常变量微分方程拓扑等价函数的正则性 [J]. | 中国科学(数学) , 2020 , 50 (6) : 847-872 .
MLA 邹长武 et al. "具有无界非线性项的广义逐段常变量微分方程拓扑等价函数的正则性" . | 中国科学(数学) 50 . 6 (2020) : 847-872 .
APA 邹长武 , 夏永辉 , Manuel Pinto . 具有无界非线性项的广义逐段常变量微分方程拓扑等价函数的正则性 . | 中国科学(数学) , 2020 , 50 (6) , 847-872 .
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On Piecewise Linear Differential Systems with n Limit Cycles of Arbitrary Multiplicities in Two Zones SCIE
期刊论文 | 2019 , 18 (1) , 139-151 | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS
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Abstract :

In this paper, we demonstrate rich dynamical phenomenon of piecewise linear differential systems having only two zones in the plane. We show that, for any given integer n and any integer tuple m=(m1,m2,,mn), mi0, for i=1,,n, there exists an aforementioned system which possesses exactly n limit cycles having multiplicities m1, m2,,mn, respectively. (i.e. there are totally m1+m2++mn limit cycles taking into account of multiplicities). Moreover, we can even choose the separation boundary of the zones to be an algebraic curve.

Keyword :

Algebraic curve Algebraic curve Limit cycle Limit cycle Piecewise linear differential system Piecewise linear differential system

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GB/T 7714 Zou, Changwu , Liu, Changjian , Yang, Jiazhong . On Piecewise Linear Differential Systems with n Limit Cycles of Arbitrary Multiplicities in Two Zones [J]. | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS , 2019 , 18 (1) : 139-151 .
MLA Zou, Changwu et al. "On Piecewise Linear Differential Systems with n Limit Cycles of Arbitrary Multiplicities in Two Zones" . | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS 18 . 1 (2019) : 139-151 .
APA Zou, Changwu , Liu, Changjian , Yang, Jiazhong . On Piecewise Linear Differential Systems with n Limit Cycles of Arbitrary Multiplicities in Two Zones . | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS , 2019 , 18 (1) , 139-151 .
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Boundness and Linearisation of a Class of Differential Equations with Piecewise Constant Argument SCIE
期刊论文 | 2019 , 18 (2) , 495-531 | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS
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Abstract :

The differential equations with piecewise constant argument (DEPCAs, for short) is a class of hybrid dynamical systems (combining continuous and discrete). In this paper, under the assumption that the nonlinear term is partially unbounded, we study the bounded solution and global topological linearisation of a class of DEPCAs of general type. One of the purpose of this paper is to obtain a new criterion for the existence of a unique bounded solution, which improved the previous results. The other aim of this paper is to establish a generalized Grobman-Hartman-type theorem for the topological conjugacy between a nonlinear perturbation system and its linear system. The method is based on the new obtained criterion for bounded solution. The obtained results generalized and improved some previous papers. Some novel techniques are employed in the proof.

Keyword :

Bounded solution Bounded solution Differential equation Differential equation Piecewise constant argument Piecewise constant argument

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GB/T 7714 Zou, Changwu , Xia, Yonghui , Pinto, Manuel et al. Boundness and Linearisation of a Class of Differential Equations with Piecewise Constant Argument [J]. | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS , 2019 , 18 (2) : 495-531 .
MLA Zou, Changwu et al. "Boundness and Linearisation of a Class of Differential Equations with Piecewise Constant Argument" . | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS 18 . 2 (2019) : 495-531 .
APA Zou, Changwu , Xia, Yonghui , Pinto, Manuel , Shi, Jinlin , Bai, Yuzhen . Boundness and Linearisation of a Class of Differential Equations with Piecewise Constant Argument . | QUALITATIVE THEORY OF DYNAMICAL SYSTEMS , 2019 , 18 (2) , 495-531 .
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Piecewise linear differential system with a center-saddle type singularity SCIE
期刊论文 | 2018 , 459 (1) , 453-463 | JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS
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In this paper, we show the existence of piecewise linear differential system with two zones in the plane having the following features: it has a center and a saddle singularity point in each region; the boundary of the zones is an analytic curve; for any given positive integer n is an element of N, the system has exactly n limit cycles; and all the limit cycles are hyperbolic. (C) 2017 Elsevier Inc. All rights reserved.

Keyword :

Analytic curve Analytic curve Limit cycle Limit cycle Piecewise linear differential system Piecewise linear differential system

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GB/T 7714 Zou, Changwu , Yang, Jiazhong . Piecewise linear differential system with a center-saddle type singularity [J]. | JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS , 2018 , 459 (1) : 453-463 .
MLA Zou, Changwu et al. "Piecewise linear differential system with a center-saddle type singularity" . | JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS 459 . 1 (2018) : 453-463 .
APA Zou, Changwu , Yang, Jiazhong . Piecewise linear differential system with a center-saddle type singularity . | JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS , 2018 , 459 (1) , 453-463 .
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微分方程和差分方程指数型二分性条件的等价 PKU
期刊论文 | 2018 , 46 (5) , 601-605 | 福州大学学报(自然科学版)
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研究微分方程和其对应的差分方程指数型二分性的条件,利用有界增长、基解有界增长以及基解负向和正向有界增长的概念,得到了这两种指数型二分性等价性的有关命题.

Keyword :

指数型二分性 指数型二分性 有界增长 有界增长 等价条件 等价条件

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GB/T 7714 邹长武 , 张章学 . 微分方程和差分方程指数型二分性条件的等价 [J]. | 福州大学学报(自然科学版) , 2018 , 46 (5) : 601-605 .
MLA 邹长武 et al. "微分方程和差分方程指数型二分性条件的等价" . | 福州大学学报(自然科学版) 46 . 5 (2018) : 601-605 .
APA 邹长武 , 张章学 . 微分方程和差分方程指数型二分性条件的等价 . | 福州大学学报(自然科学版) , 2018 , 46 (5) , 601-605 .
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