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Recovering defective Landsat 7 Enhanced Thematic Mapper Plus images via multiple linear regression model

IET COMPUTER VISION 2016年第8期10卷 788-797页

作者： Sadiq, Asmaa Sulong, Ghazali Edwar, Loay Univ Technol Malaysia Fac Comp MaGIC X UTM IRDA Digital Media Ctr Utm Skudia Johor Takzin 81310 Malaysia Univ Al Mustansiriyah Coll Sci Dept Comp Baghdad Iraq Univ Baghdad Coll Sci Dept Comp Baghdad Iraq

Since 2003, the scan line corrector (SLC) of the Landsat 7 Enhanced Thematic Mapper Plus (ETM+) sensor has failed permanently, inhibiting the retrieval or scanning of 22% of the pixels in each Landsat 7 SLC-off image. This utter failure has seriously limited the scientific applications and usability of ETM+ data. Precise and complete recovery of the missing pixels for the Landsat 7 SLC-off images is a challenging issue and developing an efficient gap-fill algorithm with improved ETM+ data usability has been ever-demanding. In this study, a new gap filling method has been introduced to reconstruct the SLC-off images via multi-temporal SLC-off auxiliary fill images. A correlation is established between the corresponding pixels in the target SLC-off image and two auxiliary fill images in parallel using the multiple linear regressions model. Both simulated and actual defective Landsat 7 images were tested to assess the performance of the proposed model by comparing with two multi-temporal data based methods, the local linear histogram matching method and Neighbourhood Similar Pixel Interpolator method. The quantitative evaluations indicate that the proposed method makes an accurate estimate of the missing values even for more temporally distant fill images.

关键词： remote sensing geophysical image processing image resolution image enhancement regression analysis infrared imaging image sensors image reconstruction artificial satellites defective Landsat 7 enhanced thematic mapper plus images recovery multiple linear regression model scan line corrector Landsat 7 SLC-off image Landsat 7 enhanced thematic mapper plus sensor ETM+ data usability gap filling method missing value estimation

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multiple linear regression model for the prediction of Changma onset date in Korea

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INTERNATIONAL JOURNAL OF CLIMATOLOGY 2014年第4期34卷 1000-1010页

作者： Choi, Ki-Seon Kang, Sung-Dae Kim, Hae-Dong Korea Meteorol Adm Natl Typhoon Ctr Cheju South Korea Keimyung Univ Dept Environm Conservat Taegu South Korea

In this research, the multiple linear regression models for the prediction of the Changma onset in Korea have been developed. The predictors are based on correlation analysis between Changma onset dates over 30years (1973-2002), and the winds and geopotential heights at high, middle, and low levels of the troposphere during the preceding 6months (December to May). The clearest correlation was observed at 850 hPa geopotential height field in the preceding April among 6months. The fundamental meaning of this model indicates that Changma in Korea comes earlier when the Mascarene high becomes languished and the tropical storms around India and western North Pacific subtropical high (WNPSH) become strengthened. The reliability of this model has been tested and proved by statistical cross-validation analysis, and additionally, has been analysed for differences in the 850 hPa stream flows for those years that Changma comes earlier and later. From the preceding April onwards, the Mascarene high tends to become weakened so that the cross-equatorial flow is strengthened along the African east coast. The cross-equatorial flow fortifies the tropical storms around Indian as it moves to the east. In the long run, the flow is influenced so that the WNPSH is more developed to the north, influencing Changma rain band to move north faster. To determine why Changma comes later in Korea, the water equivalent of accumulated snow depth (WEASD) difference between the late and early onset phases in the preceding April has been analysed. The result indicated that WEASD had a positive value for most East Asian regions. Since the snow reflects solar radiation by the Albedo effect, it decreases the difference in temperature between continents and oceans by decreasing the surface air temperature. The result has been confirmed by analysing the sensible heat net flux (SHTFL) difference between the two phases. In this way, small temperature gaps between continents and oceans weaken the WNPSH allow

关键词： Changma multiple linear regression model Mascarene high

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Candidate of low carbon economy concrete: Reinforcing recycled concrete via hybrid fibers

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ENVIRONMENTAL RESEARCH 2025年 276卷 121478页

作者： Tan, Chunlei Cai, Se Ding, Jianxiang Zhang, Xiaohui Han, Shangsong Su, Liuyue Li, Yahao Cui, Lisan Guangxi Univ Sci & Technol Sch Civil Engn & Architecture Energy Efficient & Storage Mat Lab Intelligent Environm Protect Bldg Mat Lab Liuzhou 545006 Peoples R China Hezhou Univ Coll Mat & Chem Engn Guangxi Key Lab Calcium Carbonate Resources Compre Hezhou 542899 Peoples R China China Three Gorges Univ Coll Elect Engn & New Energy Hubei Prov Collaborat Innovat Ctr New Energy Micro Yichang 443002 Hubei Peoples R China

Doping fibers are a highly effective method to rescue the weak mechanical properties of recycled concrete (RC). In this study, a complex three-dimensional network structure was constructed by using the unique arrangement and interweaving of three mixed fibers steel fiber (SF), glass fiber (GF), and coir fiber (CF). At the same time, along with the micro-aggregate reaction and pozzolanic reaction of fly ash (FA), the dual advantages of mixed fibers and FA were combined to enhance the mechanical properties of RC, reduce carbon emissions. The effects of FA, SF, GF, and CF on the mechanical properties of RC were discussed using a single-factor test and SEM analysis. An orthogonal test determined the optimal mix ratio, and the synergistic effect of FA, SF, GF, and CF on RC was discussed. Through multiple regression analysis, it was proved the correlation between the compressive strength and flexural strength of hybrid fiber reinforced recycled concrete (HFRC) and FA, SF, GF, and CF. A multiple regression model was proposed to predict the compressive strength and flexural strength of HFRC. Then, HFRCfilled steel tube members were used to measure the bi-directional deviatoric tensile properties to indicate material effectiveness. Finally, the carbon emissions of HFRC are calculated and analyzed. The results show that compared with the control group, the compressive and flexural strengths are increased by 61.68 % and 15.55 % when the mixing ratio is 1 % FA, 2 % SF, 1 % GF, and 1 % CF. The bearing capacity of HFRC-filled steel tube members under bidirectional bias load is 48.2 % higher than that of ordinary concrete-filled steel tube members. Finally, compared to the same dosage of manufactured sand, the use of construction waste groups reduced carbon emissions.

关键词： Recycled concrete Hybrid fibers Bi-directional bias pull multiple linear regression model Carbon emission calculation

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A Study of the Influencing Mechanism of Travel Mode Choice for Primary School Students: A Case Study in Wuhan

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BUILDINGS 2025年第5期15卷 700-700页

作者： Chen, Shuting Hong, Mengyao Wei, Wei Wuhan Univ Sch Urban Design Wuhan 430072 Peoples R China

The motorization of school commutes reduces the physical activity of children and causes a series of urban traffic and social problems, such as traffic congestion in school districts and parents becoming necessary for transportation. To alleviate traffic jams and related social problems, as well as to encourage physical activity amongst students, we advocate non-motorized travel modes for students, such as walking and cycling. Based on a case study of the Wuhan East Lake High-Tech Development Zone, we use a multiple linear regression model to analyze the relationship between influence factors and student travel mode choices. The results show that built environment factors (the built environment factors are divided into density, diversity, accessibility, and destination) have a significant impact on school travel mode choices, especially accessibility and diversity. Furthermore, the study highlights the pivotal role of travel perceptions, particularly perceptions of safety, comfort, and convenience. Through a questionnaire survey, we collect students' travel perceptions and their actual school travel modes, which offer valuable insights for urban planners and policymakers. The findings indicate the complex interplay between student commuting and the built environment. Additionally, these findings can be valuable, both in academia and for policymakers. We provide strategies that could be beneficial for reducing motor vehicle activities (especially driving).

关键词： built environment "homo urbanicus" theory travel mode choice multiple linear regression model Wuhan

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Roadmap to achieve sustainable energy development: Is energy security important to the path to SDG7: Affordable and Clean Energy -Sustainable Development Goals?

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RENEWABLE ENERGY 2025年 251卷

作者： Shi, Zhen Yang, Xinyue Jin, Qinqin Chiu, Yung-ho Zhang, Lina Hohai Univ Sch Econ & Finance 1915 Hohai Ave Changzhou Peoples R China Soochow Univ Dept Econ 56 Kueiyang St Sec 1 Taipei 10048 Taiwan Hohai Univ Business Sch 8 Focheng West Rd Nanjing Peoples R China

Upon the profound changes in the global energy landscape, renewable energy has provided a new solution to China's energy security problems. To accurately evaluate the importance of renewable energy use for energy security and sustainability, this study innovatively constructed a two-stage framework (Meta Window Parallel Entropy Dynamic DDF model) based on panel data from 30 provinces in China over 2015 to 2021. The framework initially evaluates the energy security index of 30 provinces from the four dimensions of Availability, Accessibility, Affordability and Acceptability. Renewable energy indicators were incorporated to evaluate China's energy sustainable development capacity in the stage of sustainable energy development (Energy S-SDG Stage). In addition, the study introduces the Geodetector model and multiple linear regression model to analyse the driving factors affecting China's energy security and sustainability and their interactions. The findings reveal that Chinese provinces have significant differences in the traditional energy security dimension. The overall energy security level has been low but roughly positive. After considering the renewable energy indicators in the Energy S-SDG stage, the provincial energy security-sustainable development indices are relatively high. Moreover, multidimensional factors synergistic influence China's energy security and the interactions between the factors show an apparent enhancement relationship. These findings highlight the role of renewable energy in improving energy security and achieving the SDGs.

关键词： Energy security index Sustainable development goal Renewable energy Sustainable economic development Geodetector model multiple linear regression model

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An assessment of how street view imagery and remote-sensing data of green and blue spaces can explain variations in housing prices: a case study in Suzhou, China

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REMOTE SENSING LETTERS 2024年第12期15卷 1209-1217页

作者： Zhu, Jin Liu, Changchang Yu, Cheng Du, Jinglong Suzhou Univ Sci & Technol Sch Geog Sci & Geomatics Engn Suzhou Peoples R China Suzhou Univ Sci & Technol Sch Environm Sci & Engn Suzhou Peoples R China

Urban blue and green spaces have significant influences on housing prices. In this study, we employed three data sources of blue and green space data sources (street view images, remote-sensing indicators, and land use data) and compared the variations of the three data sources of data in housing prices in Suzhou, China. The Spearman correlation showed street view data and remote sensing data reflect different perspectives of blue and green spaces. In terms of green spaces, street view greenery demonstrated the highest explanatory power for housing prices. This finding suggests that residents favour street greenery than Normalized Difference Vegetation Index (NDVI) and green space land use data. Regarding blue spaces, Normalized Difference Water Index (NDWI) exhibited the highest explanatory power for housing prices. This can be attributed to the fact that NDWI effectively captures water bodies around residential areas. The findings of this study have significant implications for urban planning and real estate development.

关键词： Blue and green spaces housing prices multiple linear regression model street view imagery NDVI

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Using Sensor Errors to Define Autonomous System Situational Awareness

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IEEE ACCESS 2024年 12卷 193763-193781页

作者： Costello III, Donald H. Cienfuegos, Paola Jaramillo Xu, Huan Univ Maryland A James Clark Sch Engn MATRIX Lab College Pk MD 20619 USA US Naval Acad Weap Robot & Control Engn Dept Annapolis MD 21402 USA Univ Maryland Inst Syst Res Aerosp Engn College Pk MD 20742 USA

Autonomous uncrewed aerial systems (UASs) are expected to operate without a human being in or on the loop. As there will not be a human to interpret the environment, the autonomous UAS is expected to make aeronautical decisions based on situational awareness (SA). This is a limiting factor in the field of truly autonomous systems. Before we can field systems that function without human oversight, we need methods to evaluate whether the SA of that system has been established. This study uses a hypothetical scenario and subject matter expert (SME) opinion to establish a quantifiable metric for SA within an established United States Department of Defense recognized modeling and simulation (M&S) environment. Within this environment, it is assumed that all errors within the UAS sensor suite are known. Through the M&S environment, we were able to vary six separate error variables, with three unique values to provide a total of 729 different data points to be analyzed in our attempt to develop predictive equations. Each data point was evaluated 2,000 times, which gave us a dataset consisting of over 1.4 million individual simulations. From the dataset, we developed linear and nonlinear statistical models to define a point where the SA formed by the UAS is no longer valid for making a sound aeronautical decision. We developed objective measures (inequalities) for the subjective end (SA) through both linear and nonlinear analyses. The M&S environment may not be a direct duplication of reality;however, the results of this study may influence how future autonomous UASs are fielded. This study demonstrates that if a point can be defined where an UAS possesses sufficient SA, decision-makers (Subject Matter Experts in this case) would permit the UAS to make decisions currently reserved for fully qualified human operators.

关键词： Aircraft Certification Military aircraft Robot sensing systems Monitoring linear regression Degradation Current measurement Atmospheric modeling US Department of Defense Autonomous systems autonomy certification military applications generalized additive model multiple linear regression model

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Value Chain Analysis of Potato (Solanum spp.): Evidence from Guagusa Shikudad District of Awi Zone, Amhara Region, Ethiopia

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AMERICAN JOURNAL OF POTATO RESEARCH 2025年 1-19页

作者： Gobie, Wubalem Debre Markos Univ Coll Agr & Nat Resource Dept Agribusiness & Value Chain Management Debre Markos Ethiopia

Potato is a key global food security crop, contributing to income generation, employment, and nutrition for smallholder farmers. However, its development is hindered by limited adoption of improved technologies, weak bargaining power, low value addition, and unorganized markets. This study maps potato value chain actors, analyzes market structure, conduct, and performance, and identifies determinants of market supply. Using a mixed-methods approach, data were collected from 174 producers and 75 traders. Findings reveal 69% of producers use improved technologies, while only 37.93% practice value addition. Five market channels were identified, with a 32.07% market concentration. Processors achieved the highest profit margin (34.20%) through value addition. Key determinants of market supply include improved seeds, production volume, education, market information, and extension services, while livestock owning and family size negatively impacted supply. This study recommends coordinated efforts to promote technology adoption, value addition, and market organization to enhance benefits for all value chain actors. La papa es un cultivo clave para la seguridad alimentaria mundial, que contribuye a la generaci & oacute;n de ingresos, el empleo y la nutrici & oacute;n de los peque & ntilde;os agricultores". Sin embargo, su desarrollo se ve obstaculizado por la adopci & oacute;n limitada de tecnolog & iacute;as mejoradas, el escaso poder de negociaci & oacute;n, el bajo valor agregado y los mercados no organizados. Este estudio mapea los actores de la cadena de valor de la papa, analiza la estructura, la conducta y el rendimiento del mercado, e identifica los determinantes de la oferta del mercado. Utilizando un enfoque de m & eacute;todos mixtos, se recopilaron datos de 174 productores y 75 comerciantes. Los resultados revelan que el 69% de los productores utiliza tecnolog & iacute;as mejoradas, mientras que solo el 37,93% practica la adici & oacute;n de valor. Se identifica

关键词： Potato Value chain actors Structure Conduct Performance multiple linear regression model

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regression analysis and its application to oil and gas exploration:A case study of hydrocarbon loss recovery and porosity prediction,China

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Energy Geoscience 2024年第4期5卷 240-252页

作者： Yang Li Xiaoguang Li Mingyu Guo Chang Chen Pengbo Ni Zijian Huang Liaohe Oilfield CNPCPanjinLiaoning124010China Tianjin Company of China National Offshore Oil Corporation Tianjin300452China China-France Bohai Geoservices Co. Ltd.Tianjin300450China Panjin Zhonglu Oil and Gas Technology Service Co. Ltd.PanjinLiaoning124000China

In oil and gas exploration,elucidating the complex interdependencies among geological variables is *** study introduces the application of sophisticated regression analysis method at the forefront,aiming not just at predicting geophysical logging curve values but also innovatively mitigate hydrocarbon depletion observed in geochemical *** a rigorous assessment,we explore the efficacy of eight regression models,bifurcated into linear and nonlinear groups,to accommodate the multifaceted nature of geological *** linear model suite encompasses the Standard Equation,Ridge regression,Least Absolute Shrinkage and Selection Operator,and Elastic Net,each presenting distinct *** Standard Equation serves as a foundational benchmark,whereas Ridge regression implements penalty terms to counteract overfitting,thus bolstering model robustness in the presence of *** Least Absolute Shrinkage and Selection Operator for variable selection functions to streamline models,enhancing their interpretability,while Elastic Net amalgamates the merits of Ridge regression and Least Absolute Shrinkage and Selection Operator,offering a harmonized solution to model complexity and *** the nonlinear front,Gradient Descent,Kernel Ridge regression,Support Vector regression,and Piecewise Function-Fitting methods introduce innovative *** Descent assures computational efficiency in optimizing solutions,Kernel Ridge regression leverages the kernel trick to navigate nonlinear patterns,and Support Vector regression is proficient in forecasting extremities,pivotal for exploration risk *** Piecewise Function-Fitting approach,tailored for geological data,facilitates adaptable modeling of variable interrelations,accommodating abrupt data trend *** analysis identifies Ridge regression,particularly when augmented by Piecewise Function-Fitting,as superior in recouping hydrocarbon losses,and underscoring it

关键词： regression analysis Oil and gas exploration multiple linear regression model Nonlinear regression model Hydrocarbon loss recovery Porosity prediction

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Orthogonal experimental design for compressive strength of recycled coarse aggregate concrete with silica fume-slag-fly ash hybrid micro-powders

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CONSTRUCTION AND BUILDING MATERIALS 2023年 408卷

作者： Wang, Chengyuan Wang, Juan Liu, Xu Cai, YunFang Zhang, YuCheng East China Jiaotong Univ Sch Transportat Engn Nanchang 330013 Peoples R China Xinyu Univ Coll Civil Engn & Architecture Xinyu 338004 Peoples R China Xinyu Univ Coll Marxism Xinyu 338004 Peoples R China

Recycled Coarse Aggregate Concrete (RAC) is a type of concrete that uses recycled coarse aggregate (RCA) instead of natural coarse aggregate (NCA), which helps to reduce the negative environmental impact of construction waste. In order to improve the low compressive strength of RAC and solve the problem of shortage of natural aggregates, this paper develops a high-performance concrete called recycled coarse aggregate concrete with silica fume-slag-fly ash hybrid micro-powders (HMRAC) by replacing part of the cement with a mixture of micronized silica fume (SF), slag (SG) and fly ash (FA) and using RCA of 50% mass instead of NCA. The optimum combination parameters and prediction model for the compressive strength of HMRAC were also proposed by orthogonal experimental design. A constant water-cement ratio of 0.45 and a 50% mass replacement of natural coarse aggregate (NCA) by recycled coarse aggregate (RCA) were adopted in the experiment, and the mass replacement ratios of silica fume (SF), slag (SG), and fly ash (FA) for ordinary Portland cement (OPC) were used as the test variables. In total, 16 combinations were tested, including a control group where 50% of the NCA mass was replaced by RCA. First, we investigated the degree and significance of the effect of the mass substitution ratio of SF, SG, and FA on the compressive strength of HMRAC using analysis of variance (ANOVA) and extreme difference analysis. Then, we determined the optimal combination ratio of SF, SG, and FA. Secondly, multiple regression analysis was used to propose a multiple regression model for predicting the compressive strength of HMRAC. Finally, we computed and analyzed the carbon emissions of HMRAC. The results indicated that the mass substitution rates of FA and SG had a greater effect on the compressive strength, and the mass substitution rate of SF had a lesser effect on the compressive strength. The interaction of SF, SG, and FA can significantly enhance the compressive strength of RAC. T

关键词： Recycled coarse aggregate concrete with silica fume-slag-fly ash hybrid micro-powders (HMRAC) Orthogonal experimental design multiple linear regression model Compressive strength Carbon emission

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