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SUMMIT: A SAR foundation model with multiple auxiliary tasks enhanced intrinsic characteristics

International Journal of Applied Earth Observation and Geoinformation 2025年 141卷

作者： Du, Yuntao Chen, Yushi Huang, Lingbo Yang, Yahu Ghamisi, Pedram Du, Qian School of Electronics and Information Engineering Harbin Institute of Technology Harbin 150001 China Center for Control Theory and Guidance Technology Research Harbin Institute of Technology Harbin 150001 China Helmholtz-Zentrum Dresden-Rossendorf (HZDR) Helmholtz Institute Freiberg for Resource Technology Freiberg 09599 Germany Department of Electrical and Computer Engineering Mississippi State University Starkville 39762 MS United States

Synthetic Aperture Radar (SAR) is a crucial tool in remote sensing, yet existing deep learning methods are primarily limited in visual representation, neglecting the intrinsic characteristics of SAR and the need for strong generalization across multiple tasks. To address this, we propose SUMMIT (SAR foUndational Model with Multiple auxiliary tasks enhanced Intrinsic characterisTics), a foundational model tailored for SAR image understanding. SUMMIT is pre-trained on the Multi-sensor SAR Image Dataset (MuSID), which contains over 560,000 SAR images. To enhance its feature extraction capability, we introduce a masked image modeling (MIM) framework with self-supervised auxiliary tasks (SSATs): (1) MIM for learning robust structural representations, (2) self-supervised denoising to improve the model's noise resistance, and (3) space scattering feature enhancement to preserve geometric consistency. Furthermore, we design an auxiliary task coordination module (ATCM) to balance these tasks and ensure effective feature fusion. The resulting self-supervised framework enables SUMMIT to integrate deep learning with SAR's physical attributes effectively. Extensive experiments across seven datasets and three downstream tasks demonstrate that SUMMIT achieves state-of-the-art performance, particularly in SAR classification, detection, and segmentation. Code and pre-trained model of the proposed SUMMIT will be available at https://***/Yunsans/SUMMIT. © 2025

关键词： Foundation model Self-supervised auxiliary task Synthetic Aperture Radar Vision Transformer

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2nd International Conference on Advanced Data and Information engineering, DaEng 2015

作者： Lee, Kihwa Kim, Yeoneo Woo, Gyun Department of Electrical and Computer Engineering Pusan National University 30 Jangjeon-Dong Geumjeong-Gu Busan609-735 Korea Republic of Department of Electrical and Computer Engineering Smart Control Center of LG Electronics Pusan Nat’l University Busan609-735 Korea Republic of

ISBN: (纸本)9789811317972

A program consists of data structures and algorithms. However, most studies, up to now, for detecting plagiarism of source codes are suggesting lopsided analyses considering only the algorithms (or instructions) of the source codes. This paper introduces a method for measuring the similarity between data structures for detecting plagiarized source codes. The proposed method was experimented with test sets including plagiarized source codes. The experimental result shows that the similarities among the data structures of plagiarized source codes are high degree as expected. This result implies that the similarity on data structures, along with the similarity on algorithms, is also one of the main factors to the decrease false alarms by lowering the threshold for the plagiarism. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Static analysis

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Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry

arXiv

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arXiv 2024年

作者： Zhang, Yijie Huang, Luzhe Pillar, Nir Li, Yuzhu Migas, Lukasz G. Van de Plas, Raf Spraggins, Jeffrey M. Ozcan, Aydogan Electrical and Computer Engineering Department University of California Los AngelesCA90095 United States Bioengineering Department University of California Los AngelesCA90095 United States University of California Los AngelesCA90095 United States Mass Spectrometry Research Center Vanderbilt University NashvilleTN37232 United States Delft Center for Systems and Control Delft University of Technology Delft2628 Netherlands Department of Cell and Developmental Biology Vanderbilt University NashvilleTN37232 United States Department of Chemistry Vanderbilt University NashvilleTN37232 United States Department of Biochemistry Vanderbilt University NashvilleTN37232 United States Department of Pathology Microbiology and Immunology Vanderbilt University Medical Center NashvilleTN37232 United States Department of Surgery University of California Los AngelesCA90095 United States

Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial distributions of molecular species in biological tissue with unparalleled chemical specificity and sensitivity. However, most IMS platforms are not able to achieve microscopy-level spatial resolution and lack cellular morphological contrast, necessitating subsequent histochemical staining, microscopic imaging and advanced image registration steps to enable molecular distributions to be linked to specific tissue features and cell types. Here, we present a virtual histological staining approach that enhances spatial resolution and digitally introduces cellular morphological contrast into mass spectrometry images of label-free human tissue using a diffusion model. Blind testing on human kidney tissue demonstrated that the virtually stained images of label-free samples closely match their histochemically stained counterparts (with Periodic Acid-Schiff staining), showing high concordance in identifying key renal pathology structures despite utilizing IMS data with 10-fold larger pixel size. Additionally, our approach employs an optimized noise sampling technique during the diffusion model’s inference process to reduce variance in the generated images, yielding reliable and repeatable virtual staining. We believe this virtual staining method will significantly expand the applicability of IMS in life sciences and open new avenues for mass spectrometry-based biomedical research. Copyright © 2024, The Authors. All rights reserved.

关键词： Tissue

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Wide-angle giant photonic spin Hall effect

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Physical Review B 2022年第7期106卷 075409-075409页

作者： Zhihao Chen Yu Chen Yaodong Wu Xinxing Zhou Handong Sun Tony Low Hongsheng Chen Xiao Lin Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education Synergetic Innovation Center for Quantum Effects and Applications School of Physics and Electronics Hunan Normal University Changsha 410081 China International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology Engineering Technology Research Center for 2D Material Information Function Devices and Systems of Guangdong Province Institute of Microscale Optoelectronics Shenzhen University Shenzhen 518060 China Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Centre for Disruptive Photonic Technologies (CDPT) School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Department of Electrical and Computer Engineering University of Minnesota Minneapolis Minnesota 55455 USA Interdisciplinary Center for Quantum Information State Key Laboratory of Modern Optical Instrumentation ZJU-Hangzhou Global Scientific and Technological Innovation Center College of Information Science and Electronic Engineering Zhejiang University Hangzhou 310027 China International Joint Innovation Center ZJU-UIUC Institute The Electromagnetics Academy at Zhejiang University Zhejiang University Haining 314400 China

The photonic spin Hall effect is a manifestation of the spin-orbit interaction of light and can be measured by a transverse shift δ of photons with opposite spins. The precise measurement of transverse shifts can enable many spin-related applications, such as precise metrology and optical sensing. However, this transverse shift is generally small (i.e., δ/λ<10−1, where λ is the wavelength), which impedes its precise measurement. To date, proposals to generate a giant spin Hall effect (namely, with δ/λ>102) have severe limitations, particularly its occurrence only over a narrow angular cone (with a width of Δθ<1∘). Here we propose a universal scheme to realize the wide-angle giant photonic spin Hall effect with Δθ>70∘ by exploiting the interface between free space and uniaxial epsilon-near-zero media. The underlying mechanism is ascribed to the almost-perfect polarization splitting between s and p polarized waves at the designed interface. Remarkably, this almost-perfect polarization splitting does not resort to the interference effect and is insensitive to the incident angle, which then gives rise to the wide-angle giant photonic spin Hall effect.

关键词： Light-matter interaction Photonics Spin Hall effect Spin-orbit coupling

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VizMe: An Annotation-Based Program Visualization System Generating a Compact Visualization 2nd

VizMe: An Annotation-Based Program Visualization System Gene...

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2nd International Conference on Advanced Data and Information engineering, DaEng 2015

作者： Cheon, Junseok Kang, Dohun Woo, Gyun Department of Electrical and Computer Engineering Pusan National University 30 Jangjeon-Dong Geumjeong-Gu Busan609-735 Korea Republic of Smart Control Center of LG Electronics Department of Electrical and Computer Engineering Pusan Nat’l University Busan609-735 Korea Republic of

ISBN: (纸本)9789811317972

As the scale of software is getting large and complex, the development cost of software scales up to lots of man-months. The maintenance cost of complex software is also increasing and it is usually more than the development cost. Understanding the underlying logic and modifying the actual code consume most part of the maintenance. However, the first step, say the understanding of codes, is extremely hard for even professional developers especially when the code to modify is written by other programmers. Though several visualization methods, such as flowcharts and NS-charts, have been proposed up to now, it is still practically hard to adopt such methods in a real analysis of an existing code because the complexity of the code results in complex visualization results. The complexity of these results hinders the developers in drawing them directly or even in taking a look of them. This paper introduces VizMe, an automatic visualization tool generating a compact visualization. The key of the compact visualization is the adoption of the meta-tags, the annotations attributed to the code blocks. VizMe accepts the source code written in C, Java, or Scheme and produces the visual output including flowcharts, PADs (problem analysis diagrams), and pseudo codes. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Visualization

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Surface Irradiance Distribution Mapping Model for Photovoltaic Power Station Based on Ground-based Sky Images

Surface Irradiance Distribution Mapping Model for Photovolta...

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Annual Meeting Industrial and Commercial Power Systems Technical Conference

作者： Zhao Zhen Zhiming Xuan Kangping Li Fei Wang Yuzhang Lin Min Shi Rui Yin Tieqiang Wang Department of Electrical Engineering North China Electric Power University Baoding China Department of Electrical and Computer Engineering University of Massachusetts Lowell USA Dispatch and Control Center State Grid Hebei Electric Power Co. Ltd Shijiazhuang China

ISBN: (数字)9781728171951

ISBN: (纸本)9781728171968

Solar irradiance is one of the most crucial factors affecting the photovoltaic (PV) power output. Accurate solar irradiance forecasting can help predict future PV power generation for grid managers, thus to mitigate the adverse effect of random PV power on the power grid. However, research on real-time surface irradiance distribution in a certain region still not be presented in previous studies, which can bring further convenience to solar power forecasting and power grid dispatching work. In this paper, a surface irradiance distribution mapping model for PV power station based on ground-based sky images is proposed. First, we process raw sky image with distortion rectification and background message dislodged. Then after cloud motion displacement calculation by hybrid Fourier phase correlation (HFPC) theory, we extract the gray level and position information of pixels in sky images to explore the mapping relationship between sky image and solar irradiance. Subsequently, an adaptive sky image-irradiance mapping model is built, trained, and updated according to real-time sky images and solar irradiance. Simulation results show that the proposed method in relation to forecast can achieve real-time surface irradiance distribution mapping at quite high accuracy.

关键词： Forecasting Sun Real-time systems Clouds Power generation Correlation Cloud computing

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Optimal control System Synthesis Based on the Approximation of Extremals by Symbolic Regression*

Optimal Control System Synthesis Based on the Approximation ...

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European control Conference (ECC)

作者： S.V. Konstantinov A.I. Diveev E.A. Sofronova I. Zelinka Federal Research Center "Computer Science and Control" of Russian Academy of Sciences and RUDN University Moscow Russia Federal Research Center "Computer Science and Control" of Russian Academy of Sciences Moscow Russia Faculty of Electrical Engineering and Computer Science VŠB-TUO Ostrava-Poruba Czech Republic

ISBN: (数字)9783907144022

ISBN: (纸本)9781728188133

The article presents a solution to the optimal control synthesis problem based on the approximation of extremals. At the first stage it is proposed to solve the optimal control problem for various initial states, and at the second stage, to use the found optimal trajectories to determine the structure of the synthesizing function. Symbolic regression methods are used for approximation. Simulation is carried out for a car-like robot. The structure of the synthesizing function is found by the network operator method. A comparison of the solutions obtained using the synthesizing function found for the set of initial conditions with known solutions allows concluding that the proposed method is effective for the optimal control system synthesis.

关键词： Optimal control Trajectory Aerospace electronics Mathematical model computer science Electronic mail Genetic algorithms

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Bimodal ANFISGC for Effective Connectivity Estimation: Simulation Study

Bimodal ANFISGC for Effective Connectivity Estimation: Simul...

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Iranian Conference on electrical engineering (ICEE)

作者： Seyedmohammad Sham Hamid Soltanian-Zadeh Henry Ford Health System Detroit Michigan USA Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering University of Tehran Tehran Iran

ISBN: (数字)9781728172965

ISBN: (纸本)9781728172972

In functional neuroimaging, the causal interactions among brain regions, named effective connectivity, has a broad range of applications in neurological diseases. Effective connectivity can be estimated using various modalities, e.g., Electroencephalography (EEG) and Magneto-encephalography (MEG). Most of the measures proposed in the literature to estimate the strength of an effective connection neither detect nonlinear interactions nor distinguish indirect from direct connections. To overcome these limitations, a novel method has been proposed recently within the framework of adaptive neuro-fuzzy inference system (ANFIS), termed ANFISGC, to estimate effective connectivity between two time series relying on the concept of Granger causality. Since it is generally accepted that different modalities provide complementary information, we present a bimodal version of ANFISGC in this paper. Our method overcomes data quality limitation and provides an adaptive information fusion mechanism. We illustrate that the proposed approach provides more accurate results when the signal-to-noise ratio is low.

关键词： Time series analysis Brain modeling Time measurement Signal to noise ratio Pollution measurement Electroencephalography electrical engineering

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Optimal Evasion Against Dual Pure Pursuit *

Optimal Evasion Against Dual Pure Pursuit *

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American control Conference (ACC)

作者： Alexander Von Moll Zachariah Fuchs Meir Pachter Control Science Center of Excellence Air Force Research Laboratory WPAFB OH USA Department of Electrical Engineering and Computer Science University of Cincinnati Cincinnati OH USA Department of Electrical Engineering Air Force Institute of Technology WPAFB OH USA

ISBN: (数字)9781538682661

ISBN: (纸本)9781538682678

The Pure Pursuit strategy is ubiquitous both in the control literature but also in real-world implementation. In this paper, we pose and solve a variant of Isaacs' Two Cutters and Fugitive Ship problem wherein the Pursuers' strategy is fixed to Pure Pursuit, thus making it an optimal control problem. The Pursuers are faster than the Evader and are endowed with a finite capture radius. All agents move with constant velocity and can change heading instantaneously. Although capture is inevitable, the Evader wishes to delay capture as long as possible. The optimal trajectories cover the entire state space. Regions corresponding to either solo capture or isochronous (dual) capture are computed and both types of maximal time-to-capture optimal trajectories are characterized.

关键词： Games Optimal control Marine vehicles Delays Trajectory Aerospace electronics Missiles

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Spin-phonon interaction in yttrium iron garnet

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Physical Review B 2021年第2期104卷 L020401-L020401页

作者： Kevin S. Olsson Jeongheon Choe Martin Rodriguez-Vega Guru Khalsa Nicole A. Benedek Jiaming He Bin Fang Jianshi Zhou Gregory A. Fiete Xiaoqin Li Department of Physics Center of Complex Quantum Systems The University of Texas at Austin Austin Texas 78712 USA Department of Computer and Electrical Engineering University of Maryland College Park Maryland 20740 USA Center for Dynamics and Control of Materials The University of Texas at Austin Austin Texas 78712 USA Department of Physics Northeastern University Boston Massachusetts 02115 USA Department of Materials Science and Engineering Cornell University Ithaca New York 14853 USA Department of Mechanical Engineering The University of Texas at Austin Austin Texas 78712 USA Texas Materials Institute The University of Texas at Austin Austin Texas 78712 USA Department of Physics Massachusetts Institute of Technology Cambridge Massachusetts 02139 USA

Spin-phonon interaction is an important channel for spin and energy relaxation in magnetic insulators. Understanding this interaction is critical for developing magnetic insulator-based spintronic devices. Quantifying this interaction in yttrium iron garnet (YIG), one of the most extensively investigated magnetic insulators, remains challenging because of the large number of atoms in a unit cell. Here, we report temperature-dependent and polarization-resolved Raman measurements in a YIG bulk crystal. We first classify the phonon modes based on their symmetry. We then develop a modified mean-field theory and define a symmetry-adapted parameter to quantify spin-phonon interaction in a phonon-mode specific way in YIG. Based on this improved mean-field theory, we discover a positive correlation between the spin-phonon interaction strength and the phonon frequency.

关键词： Phonons Spin caloritronics Spintronics Magnetic insulators Density functional calculations Landau-Ginzburg-Wilson theory Mean field theory Pseudopotentials Raman spectroscopy

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