bluuebunny/crossref_metadata_2025_split huggingface dataset:
UAV image crop classification based on deep learning with spatial and spectral features
Authors: Fan Chong , Lu Ru 
Published: June 2021

Abstract
Unmanned Aerial Vehicle image analysis technology has become an effective means to classify crops. However, the UAV image classification mostly adopts shallow learning algorithm, with few computing units. These methods have low recognition accuracy and poor generalization ability. Deep learning has powerful function expression and excellent feature learning abilities. The learned features have more essential character for data and have achieved remarkable results in image classification. Therefore, the study proposes a crop classification method based on Unmanned Aerial Vehicle image with deep learning and spatial and spectral feature fusion. The method uses deep convolutional neural network to classify Unmanned Aerial Vehicle images. Simplified AlexNet network structure, which reduces the number of network layers, was used to accelerate the convergence speed of the model while ensuring the accuracy of crop classification in practical applications. Then, the vegetation index and height features of the Unmanned Aerial Vehicle image were extracted. Feature combination and comparative analyses were carried out to find the most effective feature combination and improve the accuracy of crop classification through spatial and spectral feature fusion. In addition, a Sample Expansion Strategy was used to optimize the classification model and further improve the classification result to achieve a perfect performance in the crop classification of drone images. The experimental results showed that the deep learning method can effectively identify crop types in Unmanned Aerial Vehicle images, and the overall classification accuracy is raised from 86.07% to 92.76% when combining spatial and spectral feature fusion with Sample Expansion Strategy.
The Application of Machine Learning in Determining Earthquake Magnitude as an Early Warning
Authors: Sheng Xinxu , Li shanyou , Lu Jianqi 
Published: June 2021

Abstract
Since ancient times, earthquake disasters have always been one of the most harmful natural disasters, and it is necessary to reduce the damage caused by earthquakes effectively. The earthquake early warning is a new technology that has been gradually mature in recent years and can effectively reduce earthquake disasters. The ability to accurately and quickly predict the earthquake magnitude has become an important but difficult part of the earthquake early warning technology. Currently, many countries in the world have been engaged in the projects of establishing and improving the system of earthquake early warning, and completed two methods to predict the earthquake magnitude as a kind of earthquake early warning, namely, the method of characteristic frequency and the method of characteristic amplitude. In recent years, with the constant improvement of deep learning, the application of machine learning in determining the earthquake magnitude as an early warning has been showing great development prospects and application possibility.
An Adaptive Aeromagnetic Compensation Method Based on Local Linear Regression
Authors: Dou Zhenjia , Liu Caihong , Wang Jingran , Han Qi 
Published: June 2021

Abstract
Aeromagnetic compensation plays an important role in airborne magnetic survey to eliminate the magnetic interference from the aircraft. However, the aeromagnetic compensation methods at present still cannot suppress the interference to the extremely low noise level of a high-sensitivity scalar magnetometer due to the common assumption about the time-invariation and the linearity of the Tolles-Lawson model depicting the aircraft magnetic interference. In this paper, an adaptive method based on local linear regression is proposed to improve the precision of aeromagnetic compensation. Instead of only using the whole historical calibration data all at once to estimate the model coefficients in advance as the traditional approach does, the proposed method calculates the coefficients in real-time by local linear regression during an aeromagnetic survey, using not only the historical calibration data but also the online measuring data, and both of them are required to be similar in a limited time window. The measured data were used to test the proposed method and the experimental results demonstrated its efficiency.
Research on Retrieving Landsat8 Sea Surface Temperature Based on Neutral Regression Equations
Authors: Huang Lu , Zhang Caiyun , Li Yan , Shao Hao , Zhang Qi , Yin Xifan 
Published: June 2021

Abstract
To verify the feasibility of applying Neutral Regression Equations to retrieve Landsat8 sea surface temperature (SST), and compares the retrieval accuracy and difference of the two thermal infrared bands, this paper establishes Neutral Regression Equations based on 32 MODIS SST training points, and uses buoy SST and MODIS SST to validate and compare the retrieval results. The results show that the Landsat8 SST retrieved by these Equations has high accuracy and good consistency with MODIS SST. Buoy SST verification shows that the root mean square error (rmse) of the two bands is less than 0.5°C, and the deviations range is less than 1°C; MODIS SST verification shows that the mean deviation(bias) of the 10th and 11th bands are -0.16°C and -0.22°C, respectively, and their deviations range is basically within ± 1°C; the retrieval accuracy of the 10th band is higher than that of the 11th band. Using Neutral Regression Equations to monitor the thermal discharge from Houshi Power Plant has achieved a wonderful effect, the temperature rise plume is jet-like, and affects a large range with a total area of 1.88km2 and a maximum thermal pollution distance of 2.5km.
Orientation of Small UAV Images with Constraint
Authors: Liu Xingxing , Zhou Guoqing , Yuan Man 
Published: June 2021

Abstract
Unmanned aerial vehicle (UAV) platform, especially in image acquisition, has the advantages of low cost and convenience compared with other sensors platform. Due to the limitation of platform load and cost, small UAV integrated positioning and orientation system (POS) has low accuracy, which makes it difficult to accurately reconstruct the geometric position and attitude of the sensor at the imaging time. For this reason, this paper proposes an angle consistent constraint algorithm to improve the accuracy of exterior orientation parameters. In this paper, the small UAV images measured in the field are used for experiments, and the results show that the constraint algorithm can achieve high accuracy when the number of control points is small and the accuracy of initial values is low, which greatly expands the application space of images.
Research on the Application of BIM Technology in the Cost Management of Construction Projects
Authors: Liao Liping 
Published: June 2021

Abstract
Under the premise of ensuring safety, quality compliance, reasonable schedule, and lowest cost are the fundamental goals of construction project management. The realization of this goal, in the final analysis, will fall on the key point of cost management. With the advent of the “Internet + ” era, the construction industry has developed rapidly, especially the application and promotion of BIM technology, which has gradually changed the traditional cost control mode. Based on BIM technology, taking construction project cost management as the research object, introducing the management method based on “BIM + earned value method”, analyzing the application of BIM technology in construction project cost management, constructing a cost management practice model, proposing specific countermeasures, and guiding the project practice.
Hydraulic lifting technology of steel grid roof of a hangar
Authors: Deng Deyuan , Li Zixuan , Zhang Weixiong , Mo Tianfang , Chen Zhou , Chen Zepeng 
Published: June 2021

Abstract
The grid structure is more and more widely used in the civil engineering industry, but due to the large number of rods and complex installation, it is extremely difficult to construct at high altitude. In order to overcome this problem, engineers proposed a hydraulic jacking method. The mechanical properties of steel structures are more complicated, especially in the construction process, the force situation and the design load is quite different. In order to explore the reliability of the hydraulic lifting process of the steel grid, this article takes the hydraulic lifting technology of the steel grid roof of a hangar as the engineering background. This project uses Sap2000 finite element analysis software to model, simulate the construction process of the jacking grid, analyze the mechanical characteristics and stability of the grid during the jacking process, and use it to guide the construction. The results show that: for large grid structures constructed at high altitudes and hydraulic jacking technology can effectively improve the construction efficiency and safety.
A review of domestic residential area suitable aging landscape design research from 2010 to 2020—Visual analysis based on VOSviewer software
Authors: Yao Kang-Kang , Zhang Hua , Zhang Ni-Yan 
Published: June 2021

Abstract
Population aging is a global problem in the 21st century, especially in China, where the elderly population is huge and has become a severe social reality. Therefore, how to make the elderly enjoy their old age and spend their old age happily in the community environment is a problem facing the current society. In this paper, CNKI is taken as the literature source, and relevant keywords such as community aging landscape and elderly community landscape from 2010 to 2020 are searched. The related research hotspots in recent ten years are analyzed by VOSviewer data visualization software, and the current research status is briefly described. It can be seen from the analysis that the research methods are gradually scientific and systematic, and the research hotspots are gradually changing from the formal landscape of the elderly community to more practical and targeted target landscapes such as health care and healing, microclimate and gardening therapy, and the trend of cross-disciplinary research is gradually obvious. On this basis, this paper attempts to analyze the future development trend of the aging community landscape by domestic scholars, with a view to providing help for further research.
Research on Intelligent Construction Intensive Management Based on Building Information Modeling Technology
Authors: Dong Shuzhao , Wang Lin , Huang Wenjuan 
Published: June 2021

Abstract
In the process of construction industry development, due to the slow development of information technology, low level of fine management, various working modes and other problems, it is difficult to form a benign closed loop among construction participants in the planning and decision-making stage, design stage, construction stage, production stage, operation and maintenance stage of the project. This paper proposes the concept of intensive management of intelligent construction based on BIM technology to realize the integrated development of the whole life cycle of buildings. Through studying the connotation, development status, research significance and function of intensive management of intelligent construction, the paper constructs an intensive management system of intelligent construction based on BIM technology, which realizes the independence and interoperability of each stage of the project, thus promoting the industrial upgrading and technology application of the construction industry and realizing sustainable development.
Research status and prospect of seismic transverse beam fall prevention measures for small and medium span beam bridges
Authors: Li Guo , Yan Lei , Wang Xin Yong , An Kang , Xiao Heng , Cheng Long Fei , Guo Yuan Chen , Liu Fang Ping 
Published: June 2021

Abstract
The current research status of seismic lateral bearings and blocks of small and medium span beam bridges are briefly reviewed. The current research status of the block and bearing is analyzed and discussed, and the future research trend is discussed. The research results show that the research on the bearing is focused on the discussion of the mechanism and influence of the friction coefficient, friction force and slip performance of the plate rubber bearing; in terms of the stop, various new stop structure forms emerge in an endless stream; with the in-depth research of the two, Researchers began to pay attention to the mutual interaction of the support and the block when the actual earthquake occurred, and began to test the conceptual design, but how to fully consider the overall seismic performance of the bridge under the interaction of the two in the small and medium-span girder bridge The impact of this requires more in-depth research.
Research on the Utilization Mode of Underground Space in the Protection of Shanghai’s Industrial Architecture Heritage
Authors: Hong Xiaochun , Ji Xiang 
Published: June 2021

Abstract
With the arrival of the era of stock optimization, urban existing industrial areas and industrial buildings through renovation and upgrading to improve the building performance and expand the building function, more and more become an important content of urban renewal. With rich industrial building heritages in Shanghai as an example, the study was based on the ground of the industrial heritage protection status and function of underground space utilization, exploring the development and utilization of underground space to realize city both with industrial zone industrial building heritages protection development, expansion of land space and function optimization, summarized based on the industrial building heritages protection of underground space utilization patterns and their characteristics. It can provide a reference for the existing urban environmental stock renewal and expansion.
Activation of Traditional Villages in Dapeng New District, Shenzhen, China—A Case Study on Wangmu walled-village
Authors: Deng Wenzheng , Luo Wei 
Published: June 2021

Abstract
In this paper, a case study is conducted of Wangmu walled-village, a traditional village in Dapeng New District, Shenzhen, China. It introduces the historical evolution, location overview and current situation of typical traditional Hakka’s walled-village in the eastern part of Shenzhen. With Wangmu walled-village as an example, the settlement space and architectural value of existing walled-village are analyzed. Further, based on a value judgment, the feasibility of activation and application of Wangmu walled-village in the future is explored. An activation scheme is drawn up based on the current situation of the walled-village. Those will provide ideas and suggestions for the activation and promotion of similar traditional villages.
The protection process and measures of Macau’s heritage buildings
Authors: Zheng Liang , Chen Yile 
Published: June 2021

Abstract
In 2005, Macau was merged into the World Cultural Heritage List with the Historic District of Macau. In addition to strengthening the protection and revitalization of the 22 buildings and 8 square fronts in the area, the Macau government has also unearthed a number of historical and cultural heritages. Historical buildings of cultural significance, such as General Ye Ting’s Former Residence, Former Chong Sai Pharmacy, and the Patane Night Watch House. The long historical memory of Macau and even the Lingnan region. This article sorts out the protection process and common measures of Macau’s heritage buildings. Through the study of Macau’s heritage buildings, it discusses specific measures for the protection and activation of heritage buildings, which has a reference for the sustainable development of heritage buildings.
Indoor Intelligent Decoration System based on BIM + VR Technology
Authors: Han Fengyi , Liu Yaping 
Published: June 2021

Abstract
In the interior decoration industry, disputes between design and actual effects, waste of materials, and poor construction quality often occur. In order to improve customer satisfaction, reduce waste of construction resources, and realize smart decoration in the interior decoration industry, BIM + VR technology has begun to take the stage. BIM + VR interior decoration technology is the use of BIM technology to build a three-dimensional model to realize the three-dimensional visual display of the decoration design plan. Users can really feel the effect of interior decoration through VR technology, and modify the unsatisfactory parts of the design before construction, which can more accurately meet the needs of users. And finally achieve the smart decoration function.
Research on evaluation of mining area ecological security based on GF-1 satellite imagery—taking Fushun West open-pit mine for example
Authors: Qi Yu-Na , Liao Shun-Bao , Wang Qiu-Ling 
Published: June 2021

Abstract
Carrying out the evaluation of the ecological environment of the mining area is the basis for the protection and prevention of the environment of the mining area. This paper takes Fushun West Open-pit Mine as the research area, uses the remote sensing image data of Gaofen-1 (GF-1) satellite, and uses remote sensing and GIS technology, firstly obtains high-resolution multi-spectral remote sensing images, and then extracts environmental information of the mining area from the images, such as vegetation coverage, water bodies, soil index, and then normalizes the ecological impact factors, and at last uses the comprehensive index method to construct a comprehensive evaluation model of the mining area’s ecological environment to analyze and evaluate the mining area’s ecological environment. The mining area ecological environment assessment method based on the Gaofen-1 satellite data is simple and easy to implement, and the evaluation results can provide a reference for understanding the mining area’s ecological environment and make reasonable protection measures.
Analysis of Land Use Change in Nanjing Based on Landsat Remote Sensing Images
Authors: Shen Qiwei , Zhang Ao , Zhang Haotian 
Published: June 2021

Abstract
Purpose: Using Landsat OLI remote sensing images in the two phases of 2015 and 2020. Taking Nanjing as the research area. Based on RS and GIS technology, adopting maximum likelihood method for supervised classification, extracting and producing a land use classification map for the two phases of Nanjing from 2015 to 2020. And further, using the land use change transfer matrix to analyze and summarize the characteristics and laws of the dynamic changes of land use in Nanjing. Result: From 2015 to 2020 in Nanjing, the overall land use change showed “two reductions and four increases”. The area of arable land and bare land decreased by 729.46 km2, 332.31 km2; the area of u rban construction land, woodland, grassland, and water area increased by 448.39 km2, 231.67 km2, 216.87 km2 and 164.84 km2. And each land use type has a different amount of area conversion. Conclusion: The analysis of land use change based on Landsat remote sensing image research area can effectively predict the change trend of regional land use. It can provide a basis for the research on the driving forces of land use change in the region, and it can also provide decision-making support for the formulation of land-related policies in the region.
Research on accuracy of field patrol data based on GIS
Authors: Zhu Qifeng , Shi Dong 
Published: June 2021

Abstract
Field patrol is the main method of wildlife protection, which plays a very important role in the protection and management of natural resources and biodiversity in nature reserves. However, it is difficult to completely evaluate the patrol accuracy, because it is impossible to preset the animal site in advance. Based on patrol data collected from the First Ecological Guard Competition, the accuracy of patrol route, animal site and geographical factor of animal site and GIS method are evaluated and analyzed. The results show that: (1) the patrol route has the highest accuracy, and the average accuracy is 87.91%, which indicates that ranger could basically patrol according to the preset patrol route; (2) the accuracy of animal site is not as good as that of patrol route, and the average accuracy is 51.10%, mainly because recorded animals are not right, standardized and complete; (3) the altitude accuracy is high, the slope accuracy is very low. It is recommended that slope data would no longer be recorded in the future and be directly obtained by GIS method. The results are helpful to improve the patrol accuracy evaluation system.
Research on Baiyangdian Lake Water Body Changes and Water Quality Parameters Inversion Based on Landsat Dense Time Series Data
Authors: Cheng Minghua , Jiang Miao , Huang Zhaoqiang , Lei Hua , Yan Dongchuan , Zhu Fuxiao 
Published: June 2021

Abstract
Baiyangdian Lake is the largest wetland ecosystem in North China, which has a special strategic position, so it is of great significance to study its temporal and spatial changes. Based on the 112 Landsat satellite remote sensing data from 1984 to 2020, this paper extracted the thematic information of Baiyangdian Lake open water body, carried out the study on the temporal and spatial evolution of the Baiyangdian Wetland ecosystem, and analyzed its area change trend as “increase-decrease-increase-decrease again-increase again ”. Among them, the Landsat7 ETM SLC-off satellite digital product with band noise during 2003-2012 was repaired, so that it can better reflect the mutation characteristics and overall laws of Baiyangdian Lake water body in the past 30 years. On this basis, the Baiyangdian Lake water quality parameters were inverted, and the conclusions drawn have certain reference significance for maintaining the ecological environment of Baiyangdian Lake.
Ribbon Road Surface Filtering in Vehicle-Borne Laser Scanning Point Cloud Data
Authors: Chen Min , Liu Rufei , Ding Shaopeng 
Published: June 2021

Abstract
Terrain data of road is the most commonly used basic data by the traffic department. The high-precision three-dimensional road data can restore the terrain features under the real scene, which has a wider application range. In order to obtain high-precision three-dimensional point cloud road data, taking the vehicle-borne laser scanning data as the research object, a method of ground filtering for ribbon road is proposed. First, the driving trajectory information of the road data collected by the vehicle is read. Then, according to the road characteristics, characteristics of the vehicle driving trajectory is used to control processing direction, and a grid index of the point cloud data is created. Second, feature descriptors based on the spatial distribution characteristics of road point cloud data are established, and rough road point cloud data is obtained. Finally, the profile data of the vehicle-borne laser point cloud in the vertical trajectory driving direction is extracted, and the accurate ribbon road and the micro-terrain data on both sides are obtained by the horizontal constraint line detection algorithm. The experiment and analysis are carried out by using two different ribbon road data. Experimental results show that the method can be applied to different road scenes.