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SECBNet: Semantic Segmentation-Enhanced Color Balance Network for Optical Satellite Images

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025年 63卷

作者： Chen, Ziyi Chen, Hanhuang Gao, Lujuan Li, Dilong Wang, Cheng Xu, Linlin Mollaee, Somayeh Li, Jonathan Huaqiao Univ Dept Comp Sci & Technol Xiamen 361021 Peoples R China Fudan Univ Zhongshan Hosp Dept Dermatol Shanghai 200437 Peoples R China Xiamen Univ Sch Informat Sci & Engn Xiamen 361005 Peoples R China Univ Waterloo Dept Syst Design Engn Waterloo ON N2L 3G1 Canada Univ Waterloo Geospatial Intelligence & Mapping Lab Waterloo ON N2L 3G1 Canada Univ Waterloo Dept Geog & Environm Management Waterloo ON N2L 3G1 Canada

Earth observation satellites can capture optical images under different temporal, climatic conditions, and platforms exhibit substantial differences in color and brightness, leading to poor visual experiences when synthesizing large-area optical satellite images. The related issue of color balancing has attracted considerable attention from researchers, yet challenges such as a lack of research data and sensitivity to model parameters persist. To address these problems, this article publishes a publicly open dataset and presents a semantic segmentation-enhanced color balance network (SECBNet). First, to mitigate the scarcity of research data, we develop a publicly available remote sensing image color balance dataset, Zhu Hai color balance image (ZHCBI), to support related research activities. Second, to improve semantic consistency between the color-balanced images and the target images, we design a dual-branch U-Net architecture guided by segmentation results and propose a novel segmentation feature loss function. Finally, to address issues of seams and unnatural transitions between blocks in segmented processing, we introduce a postprocessing module based on weighted averaging. We conducted comparative experiments and analyses with existing mainstream color balancing algorithms on the ZHCBI dataset. The results demonstrate that our proposed method achieves state-of-the-art color balancing quality, with significant improvement in visual effects and a higher peak signal-to-noise ratio (PSNR) (23.64 dB) compared with other mainstream methods.

关键词： Image color analysis Semantics Colored noise Histograms Feature extraction Adaptation models Remote sensing Transformers Deep learning Decoding Color balance optical satellite image seam gap supervised learning weighted average algorithm

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Two-Dimensional Real-Time Direction-Finding System for UAV RF Signals Based on Uniform Circular Array and MUSIC-WAA

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DRONES 2025年第4期9卷 278-278页

作者： Zhu, Jizan Fan, Kuangang He, Qing Ye, Jingzhen Fan, Aigen Jiangxi Univ Sci & Technol Sch Elect Engn & Automat Ganzhou 341000 Peoples R China Jiangxi Prov Key Lab Multidimens Intelligent Perce Ganzhou 341000 Peoples R China Shenzhen Inst Radio Testing & Tech Shenzhen 100041 Peoples R China

To address the growing security risks posed by unauthorized unmanned aerial vehicle (UAV) activities, this paper proposes a real-time two-dimensional direction-finding (DF) system for UAVs based on radio frequency (RF) signals. This system employs a six-element uniform circular array (UCA), synchronized HackRF One receivers, and a hybrid algorithm integrating the multiple signal classification (MUSIC) method with a novel weighted average algorithm (WAA). By optimizing the MUSIC spectrum search process, the WAA reduces the computational complexity by over 99.9% at a resolution of 0.1 degrees (from 3,240,000 to 1200 spectral function calculations), enabling real-time estimation of the azimuth and elevation angles. The experimental results demonstrate an average azimuth error of 7.0 degrees and elevation error of 7.7 degrees for UAV hovering distances of 30-200 m and heights of 20-90 m. Real-time flight tracking further validates the system's dynamic monitoring capabilities. The hardware platform, featuring omnidirectional coverage (0-360 degrees azimuth, 0-90 degrees elevation) and dual-band operation (2.4 GHz/5.8 GHz), offers scalability and cost-effectiveness for low-altitude security applications. Despite limitations in the elevation sensitivity due to the UCA's geometry, this work establishes a practical foundation for UAV monitoring, emphasizing computational efficiency, real-time performance, and adaptability to dynamic environments.

关键词： UAV monitoring direction-finding MUSIC algorithm weighted average algorithm uniform circular array real-time tracking radio frequency

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Prediction With Expert Advice For The Brier Game

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JOURNAL OF MACHINE LEARNING RESEARCH 2009年第11期10卷 2445-2471页

作者： Vovk, Vladimir Zhdanov, Fedor Univ London Comp Learning Res Ctr Dept Comp Sci Egham TW20 0EX Surrey England

We show that the Brier game of prediction is mixable and find the optimal learning rate and substitution function for it. The resulting prediction algorithm is applied to predict results of football and tennis matches, with well-known bookmakers playing the role of experts. The theoretical performance guarantee is not excessively loose on the football data set and is rather tight on the tennis data set.

关键词： Brier game classification on-line prediction strong aggregating algorithm weighted average algorithm

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An investigation of ramie fiber cross-section image analysis methodology based on edge-enhanced image fusion

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MEASUREMENT 2019年 145卷 436-443页

作者： Zhang, Zhengye Xin, Binjie Deng, Na Xing, Wenyu Chen, Yang Shanghai Univ Engn Sci Sch Fash Engn Shanghai 201620 Peoples R China Shanghai Univ Engn Sci Sch Elect & Elect Engn Shanghai 201620 Peoples R China

Usually the quality of cross sectional fiber image is affected by the slicing and imaging device, some image processing techniques could be used to solve this problem instead of hardware operation. In this paper, a series of edge detection and weighted average image fusion algorithms are used to enhance the ramie fiber image to improve the quality of fiber cross-section image obtained by the traditional section and optical microscope. The cross-section characteristic parameters of ramie fiber could be extracted after the image pre-processing including threshold segmentation, median filtering and corrosion. The experimental results show that this method can be used to solve the identification problem of low contrast ramie fiber cross-section images caused by background blur, improve the accuracy of image recognition and analysis, it provides an effective algorithm basis for the digital measurement of ramie fibers. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Ramie fiber Image analysis Edge extraction Image fusion weighted average algorithm

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The design of a portable fusion system of an uncooled infrared bolometer and a CCD camera 28

The design of a portable fusion system of an uncooled infrar...

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Conference on Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII

作者： Fu, Rongguo Du, Zhenwei Zhou, Ming Chen, Jiangnan Zhang, Hong He, Miao Sun, Tongchun Yang, Wenran Zhang, Hao Nanjing Univ Sci & Technol Sch Elect Engn & Opt Elect Technol Nanjing 210094 Jiangsu Peoples R China ShuGuang Photoelect Corp Yangzhou Yangzhou 220094 Jiangsu Peoples R China

ISBN: (纸本)9781510627024

A portable device of image fusion system of infrared and visible light image is designed. The device is composed of image collecting, process and display part. Image collecting part includes an uncooled infrared bolometer and a CCD camera. The response wavelength of uncooled infrared bolometer is 8-14 mu m and that of CCD is 0.2 similar to 1.1 mu m. Image process part is a complex structure composed of DSP642, TVP5150, SAA7121H, SDRAM storage and other electronic components, while displaying part is computer or LCD. The focus length of uncooled infrared bolometer is 50mm and that of CCD is 8 similar to 50mm to match bolometer. The optical axises of them are rectified to parallel carefully. A multi-dimensional mechanical structure is designed specially to fit for the uncooled infrared bolometer and CCD camera, so as to modify the parallel of axises. The rectifying is carried under an optical system of 3 meter focus length, the resolution angle is 0.05mrad. Images of bolometer and CCD are decoded in the input circuit of TVP5150 and form the digital signal of BT.656, then the decoded videos are transferred to DSP642 circuit. Here the images of bolometer and CCD are fused under the weighted average algorithm, the output image is encoded to PAL format in order to keep the real time response, the complex fusing algorithm such as Laplace pyramid or wavelet isn't implanted in the DSP642 at present. Theoretically the fused image includes more information than single infrared or CCD image, in order to verify the fusing result, a group of experiments are carried to detect man behind bush. By comparing three images of infrared, visible, fusing images, a primary conclusion is obtained that the weight coefficient will influence the fusing effect in different circumstances.

关键词： Portable image fusion system uncooled infrared bolometer weighted average algorithm video signal

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An Improved weighted average Method for Test Data Analysis of Electronic Components

An Improved Weighted Average Method for Test Data Analysis o...

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International Conference on Mechatronics and Industrial Informatics (ICMII 2013)

作者： Zhang, Feifei Li, Zhigang Yao, Fang Hebei Univ Technol Sch Elect Engn Tianjin Peoples R China

ISBN: (纸本)9783037856949

Electronic components are the basis of electronic equipment, and their reliability and lifetime have a direct impact on the work efficiency of the whole electric system. In fact, the test data on life characteristic parameters (LCP) of electronic components present random fluctuations because of the existence of some disturbing factors in the process of life test. This will bring great obstacles to the study on the rules of LCP, the reliability and life forecasting of electronic components. In order to solve these problems, this paper proposes a method of the determination of weight coefficients and an improved weighted average algorithm to reveal the rules of LCP. In the improved weighted average algorithm, the latest data is constantly introduced while the oldest data is removed. By an example of contact bounce time on electromagnetic relay, the application verification has been carried out on the above-stated method in the paper. The results show that the method is effective and feasible.

关键词： electronic components weight coefficient weighted average algorithm

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Link Adaptation algorithms for Channel Estimation Error Mitigation in LTE systems

Link Adaptation Algorithms for Channel Estimation Error Miti...

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IEEE Global Communications Conference (GLOBECOM)

作者： Dai, Huiling Wang, Ying Zhang, Ke Shi, Cong Beijing Univ Posts & Telecommun Minist Educ Key Lab Univ Wireless Commun Beijing 100876 Peoples R China

ISBN: (纸本)9781467309219;9781467309202

In Long Term Evolution (LTE) systems, the evolved Node B (eNodeB) performs link adaptation to improve the system performance on the basis of channel quality information estimated and fedback by the user equipments (UEs). However, the channel estimation error (CEE) can not be avoided due to hardware constraint. To make up the performance loss caused by CEE, two types of link adaptation algorithms are proposed: weighted average (WA) algorithm based on three different parameters and an enhanced adaptive time window (ATW) algorithm. Unlike pervious work, this paper not only presents the specific process of all the algorithms but also takes the theoretical derivation of performance comparison into consideration. Moreover, simulation results are demonstrated using an LTE system-level simulator, which show that the WA algorithm based on channel estimation value can effectively mitigate CEE and achieve a significant gain. Subsequently, a better system performance can be obtained using ATW algorithm by adjusting the window size dynamically.

关键词： channel estimation error weighted average algorithm adaptive time window algorithm LTE systems

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The design of a ball pod of image fusion system of a cooled infrared bolometer and a CCD camera 15

The design of a ball pod of image fusion system of a cooled ...

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Conference on Electro-Optical and Infrared Systems - Technology and Applications XV

作者： Fu, Rongguo Du, Zhenwei Zhou, Ming Chen, Jiangnan Zhang, Hong Sun, Tongchun Yang, Wenran Zhang, Hao Nanjing Univ Sci & Technol Sch Elect Engn & Opt Elect Technol Nanjing 210094 Jiangsu Peoples R China ShuGuang Photoelect Corp Yangzhou Yangzhou 220094 Jiangsu Peoples R China

ISBN: (数字)9781510621749

ISBN: (纸本)9781510621749

A compacted ball pod of image fusion system of middle wave band infrared and visible light image is designed and manufactured and tested. The system is composed of image collecting, processing and displaying part. Image collecting part includes a cooled infrared bolometer and a CCD camera. Image process part is a complex circuit penal composed of TMS320DM642, TVP5150, SAA7121H, SDRAM and other electronic components, while displaying part is computer or LCD. The focus length of cooled infrared bolometer is 300/ 75mm of Ge lens and that of CCD is continuous 10- 300mm to match the field of view of bolometer. The optical axises of them are rectified to be parallel carefully, thus they can aim at the target in infinite distance. The response wavelength of the cooled infrared bolometer is 3.3- 4.8 mu m and that of CCD is 0.2 similar to 1.1 mu m. The pixel of bolometer is 320x256 and that of CCD is 720x576. Images of bolometer and CCD are decoded in the input circuit of TVP5150 and form the digital signal of BT.656, then the decoded videos are transferred to TMS320DM642 circuit. The pixel number of bolometer is increased to 720x576 in the DM642 to match that of CCD camera, the decoded images are stored in SDRAM temporally, then the images of bolometer and CCD are fused under the weighted average algorithm in order to keep the real time response. The output image is encoded to PAL format in SAA7121H, so as to be displayed in monitor. The experiment in room and the experiments outside indicate the advantage of fusion algorithm in some degree. By comparing the observing result of three images of infrared, visible, fusing images, a primary conclusion is obtained that the weight coefficient will influence the fusing effect in different circumstances. Next a modified fusion algorithm of pixel comparing of infrared and visible images will implant to the DM642.

关键词： Ball pod image fusion system middle wave band infrared bolometer weighted average algorithm video signal

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Transformer Fault Identification Method Based on Improved Roberts algorithm 17th

Transformer Fault Identification Method Based on Improved Ro...

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17th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) / 14th International Conference on Frontiers of Information Technology, Applications and Tools (FITAT)

作者： Huang Xuhong Zhao Nan Fujian Univ Technol Fuzhou Fujian Peoples R China Fujian Univ Technol Fujian Prov Key Lab Big Data Min & Applicat Fuzhou Fujian Peoples R China Fujian Univ Technol Natl Demonstrat Ctr Expt Elect Informat & Elect T Fuzhou Fujian Peoples R China

ISBN: (纸本)9789811910579;9789811910562

Aiming at the detection of infrared image of transformer infrared image, the traditional edge detection effect is not ideal. In order to improve the accuracy of infrared detection fault equipment, this paper uses infrared thermal imager to identify the image of the transformer fault point, and the image uses the weighted average algorithm in MATLAB The image is gray-scaled, and the improved Roberts algorithm is used to edge-process it to find the exact location of the fault point. The experimental results show that the infrared image of the detected transformer has clear edges. This method effectively improves the identification of the fault point in the substation accuracy.

关键词： Improved Roberts algorithm Infrared technology MATLAB Transformer weighted average algorithm

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A Precise Low-Temperature Measurement System for Conduction Cooling Nb3Al Superconducting Magnet 27

A Precise Low-Temperature Measurement System for Conduction ...

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第27届中国控制与决策会议

作者： Chen Chuan Bai Zhiming Yang Bin Zhou Hongfei School of Materials and Metallurgy Northeastern University School of Science Northeastern University Baosheng science and technology innovation Ltd Company School of information science and engineering Northeastern University

ISBN: (纸本)9781479970179

The precise measurement of temperature is very important to the security and stability of the operation for a superconducting magnet.A slight fluctuation in the operating temperature may cause a superconducting magnet *** paper presents a low-temperature measurement system based on C8051 Micro Controller Unit and Platinum resistance *** the process of data acquisition,a modified weighted average algorithm is applied to the digital filter program of the micro controller *** noise can be effectively reduced and can measure temperature of three different location points simultaneously,and there is no the interference among the three *** designed system could measure the temperature from 400 K to 4.0 K with a resolution of 1 *** system will be applied in a conduction cooling NbAl superconducting *** order to certify the feasibility of the system,tests are performed in a small NbTi non-insulation superconducting magnet *** results show that the measurement system is reliable and the measured temperature is accurate.

关键词： Precise Temperature Measurement Superconducting Magnet C8051 Microcontroller weighted average algorithm

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