检索结果-内蒙古大学图书馆

2024 Symposium on Beyond the Canopy: Technologies and Applications of Remote Sensing

作者： Fangfang, Ji Jie, Yu Guoman, Huang Shucheng, Yang Lijun, Lu College of Resource Environment and Tourism Capital Normal University Beijing100048 China Chinese Academy of Surveying & Mapping Beijing100036 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal University Beijing100048 China Key Laboratory of 3-Dimensional Information Acquisition and Application Capital Normal University Beijing100048 China

Array Interferometric Synthetic Aperture Radar (ArrayInSAR) point cloud is a point cloud obtained by three-dimensional imaging of two-dimensional Synthetic Aperture Radar (SAR) images using array interferometric synthetic aperture radar technology, which can eliminate the phenomenon of layover in two-dimensional images and provide new data support for intelligent mapping. However, due to the influence of system thermal noise, baseline error and environment interference, there are noise points in the ArrayInSAR point cloud with uneven distribution and large elevation error, which bring a lot of gross errors to the 3D terrain results. To solve the problem that discrete points in ArrayInSAR point cloud data seriously affect the quality of three-dimensional data, this paper proposes an ArrayInSAR point cloud outlier noise removal method based on hybrid filtering. According to the distribution pattern of noise points, the outlier noise is divided into discrete outlier noise points and clusters of outlier noise. Firstly, the adaptive segmentation of point cloud dispersion coefficient within the k-neighborhood is used to remove discrete outlier noise points, and then the adaptive threshold segmentation algorithm based on the number of in-class points after K-means clustering is used to remove the cluster outlier noise of ArrayInSAR point cloud data. In order to verify the effectiveness, the proposed method is compared with other classical outlier noise removal methods. The experimental results show that the method proposed in this paper can effectively remove outlier noise in ArrayInSAR point cloud data and improve the quality of ArrayInSAR point clouds. © Author(s) 2024.

关键词： K-means clustering

来源：评论

学校读者我要写书评

暂无评论

Evaluating Hazards of Land Subsidence to the Highway Using PS-InSAR Technique

Evaluating Hazards of Land Subsidence to the Highway Using P...

引用

2021 SAR in Big Data Era, BIGSARDATA 2021

作者： Fan, Yan Yu, Jie College of Resource Environment and Tourism Capital Normal University State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing China

ISBN: (纸本)9781665401234

Inhomogeneous land subsidence will result in road surface dislocation and threaten the normal operation of expressway. Persistent scatterer interferometric synthetic aperture radar (PS-InSAR) technique is effective in monitoring large area surface deformation. By analyzing the TerraSAR-X images, we revealed the land subsidence characteristics by the PS-InSAR technique along the expressway, which was used for evaluating the hazard degrees of land subsidence. Firstly, taking the airport 2nd highway as the research object, we obtained deformation information by PS-InSAR technique from TerraSAR-X images during 20112015. Secondly, the InSAR results were validated using 8 leveling benchmarks. Thirdly, plotting deformation rate profile, we analyzed the temporal and spatial deformation characteristics. Finally, according to grading standards, the hazard induced by land subsidence degrees were assessed along the expressway. The results showed that: (1) the airport 2nd highway presented uneven settlement during 20112015. The annual average deformation rate range was -15 mm/year -83 mm/year. The accumulated settlement range was -6.1 cm -33.7 cm. (2) The land subsidence presented obvious seasonal patterns along the airport 2nd highway. (3) The hazard degree of land subsidence along the airport 2nd highway was x-weak, weak and medium. © 2021 IEEE.

关键词： Deformation

来源：评论

学校读者我要写书评

暂无评论

Semi-supervised classification method for PolSAR based on vision transformer (ViT) 4

Semi-supervised classification method for PolSAR Based on vi...

引用

4th International Conference on Signal Image Processing and Communication, ICSIPC 2024

作者： Li, Xiangshen Yu, Jie Han, Lihua College of Resource Environment and Tourism Capital Normal University Beijing100048 China Beijing Laboratory of Water Resources Security Capital Normal University Beijing100048 China State Key Laboratory Incubation Base of Urban Environmental Process and Digital Simulation Capital Normal University Beijing100048 China Land Satellite Remote Sensing Application Center of MNR Beijing100048 China

ISBN: (纸本)9781510682467

Semi-supervised classification methods generate pseudo-labels from unlabeled data, where pseudo-labels' precisio n is vital for successful classification outcomes. Addressing the challenge of inaccuracies in pseudo-label catego ries during training, this paper introduces a semi-supervised classification strategy for PolSAR images, leveragin g the Vision Transformer (ViT) technology. In this study, the Simple Linear Iterative Clustering (SLIC) method was applied to create superpixel blocks with distinct boundaries and organized structures, facilitating the generat ion of pseudo-labels with a correctness rate of 85.9%. This paper introduces the Vision Transformer (ViT) net work, capitalizing on its multi-head attention mechanism. This approach enhances global image information extr action while simultaneously addressing local details for pseudo-label training. Specifically, on the Flevoland data set, an increase in pseudo-label category accuracy of 7.09% and 5.47% was achieved. For the Wuhan Tongshu n River dataset, improvements of 2.44% and 3.41% in pseudo-label category accuracy were recorded, thereby e levating the precision of PolSAR semi-supervised classification. © 2024 SPIE.

关键词： Image enhancement

来源：评论

学校读者我要写书评

暂无评论

TOPS model image registration study in topographic undulating areas 3

TOPS model image registration study in topographic undulatin...

引用

3rd International Conference on Geology, Mapping and Remote Sensing, ICGMRS 2022

作者： Liu, Wenting Han, Lihua Yu, Jie Capital Normal University College of Resource Environment and Tourism Beijing China Ministry of Natural Resources of the People's Republic of China Land Satellite Remote Sensing Application Center Beijing China Capital Normal University State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing China Capital Normal University Key Laboratory of 3-Dimensional Information Acquisition and Application Beijing China Capital Normal University Key Laboratory of Land Subsidence Mechanism and Mitigation Beijing China

ISBN: (数字)9781665485951

ISBN: (纸本)9781665485951

The characteristics of sentinel data using terrain observation by progressive scans (TOPS) determine that its registration process is more complex and requires higher accuracy, and the synthetic aperture radar (SAR) images obtained from areas with large terrain undulations have obvious shadows and overlay masks. In this paper, we investigate the difficult problem of SAR image registration in TOPS imaging mode in areas with large terrain undulations and design a multi-stage registration method based on geometric registration, incoherent cross correlation (ICC) method, and enhanced spectral diversity (ESD) to complete the registration of sentinel image pairs and compare the accuracy of the traditional cross-correlation method with that of this paper. The experiments prove that the method described in this paper has the advantage that the registration accuracy does not depend on the image coherence, and it can still maintain a high accuracy even in areas with large topographic relief. © 2022 IEEE.

关键词： Image registration

来源：评论

学校读者我要写书评

暂无评论

simulation of Groundwater Levels Considering Natural and Anthropologic Factors Through Deep Learning Model

SSRN

引用

SSRN 2024年

作者： Li, Shuai Zhu, Lin Gong, Huili Li, Xiaojuan Li, Binghua Teatini, Pietro College of Resource Environment and Tourism Capital Normal University Beijing China Beijing Laboratory of Water Resources Security Capital Normal University Beijing China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal University Beijing China Beijing Institute of Water Science and Technology Beijing China Department of Civil Environmental and Architectural Engineering University of Padova Padova Italy Querétaro Mexico

Groundwater level (GWL) serves as an important indicator in the precise evaluation of groundwater resources, forming the cornerstone of effective groundwater management and land subsidence prevention. Numerical model, a commonly used tool for simulating GWL, requires complex input parameters related to hydrogeological and geological structures. Data-driven model has been widely used within the geoscience community due to its high accuracy. However, these models often exhibit limited interpretability. This paper introduces an approach by integrating the Multi-head Self-attention mechanism with Gate Recurrent Unit (GRU) (MSAM-GRU) model to detect the response of GWL across different aquifers to variations in precipitation and groundwater withdrawal. During the modelling, it takes novelty account of hydraulic connection between various aquifers, and incorporates the lag time between GWL in unconfined aquifer and precipitation, as well as between GWL in confined aquifers and those in upper aquifer. This integration aims to enhance both the accuracy and interpretability of the model. To validate our method, we conducted a case study in the Beijing Plain, China. Results reveal that the lag time between GWL in the unconfined aquifer and precipitation ranges from 2 to 4 months, while the lag time between GWL in the confined aquifer and those in upper aquifers ranges from 3 to 4 months. Furthermore, the results indicate a significant improvement in simulation accuracy by 31% compared to models that do not consider lag time. The performance of MSAM-GRU model surpasses that of both AM-GRU and the traditional GRU model when simulating GWLs of confined and unconfined aquifers simultaneously. The model was also employed to further analyze the response of GWL in the first aquifer group under varying precipitation and withdrawal conditions, considering the GWL recovery in this aquifer group may impact subway operations. Under conditions of solely reducing groundwater pumping volume

关键词： Aquifers

来源：评论

学校读者我要写书评

暂无评论

Spatial Downscaling of Remote Sensing Precipitation Data in the Beijing-Tianjin-Hebei Region

Spatial Downscaling of Remote Sensing Precipitation Data in ...

引用

作者： Nuan Wang Jie Yu Lin Zhu Yanbing Wang Zhengyang He College of Resource Environment and Tourism Capital Normal University State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Henan Geological Bureau China Chemical Geology and Mine Bureau Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Key Laboratory of 3-Dimensional Information Acquisition and Application Ministry of Education

Precipitation is an important part of the global hydrological cycle. The largescale, high-precision continuous precipitation data obtained by satellite remote sensing detection technology has become an important source of spatial precipitation data. However, because the spatial resolution of remote sensing precipitation data is still low, it is difficult to meet the needs of hydrological research, which restricts their application in drought and flood analysis, hydrological simulation, etc. In response to this problem, this paper takes the Beijing-Tianjin-Hebei region as the research area, downscaling the TRMM data and the GPM data space of the continuation plan, and increasing the spatial resolution of the data to 1 km. Compared with the original data, spatial downscaling data not only greatly improves the spatial resolution, but also increases the accuracy of the data, which has better applicability.

关键词： TRMM GPM Spatial Downscaling Geographically Weighted Regression

来源：评论

学校读者我要写书评

暂无评论

Spatial Downscaling of Remote Sensing Precipitation Data in the Beijing-Tianjin-Hebei Region

引用

Journal of Computer and Communications 2021年第6期9卷 191-202页

作者： Nuan Wang Jie Yu Lin Zhu Yanbing Wang Zhengyang He College of Resource Environment and Tourism Capital Normal University Beijing China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing China Henan Geological Bureau China Chemical Geology and Mine Bureau Zhengzhou China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing China Key Laboratory of 3-Dimensional Information Acquisition and Application Ministry of Education Beijing China

Precipitation is an important part of the global hydrological cycle. The large- scale, high-precision continuous precipitation data obtained by satellite remote sensing detection technology has become an important source of spatial precipitation data. However, because the spatial resolution of remote sensing precipitation data is still low, it is difficult to meet the needs of hydrological research, which restricts their application in drought and flood analysis, hydrological simulation, etc. In response to this problem, this paper takes the Beijing-Tianjin-Hebei region as the research area, downscaling the TRMM data and the GPM data space of the continuation plan, and increasing the spatial resolution of the data to 1 km. Compared with the original data, spatial downscaling data not only greatly improves the spatial resolution, but also increases the accuracy of the data, which has better applicability.

关键词： TRMM GPM Spatial Downscaling Geographically Weighted Regression

来源：评论

学校读者我要写书评

暂无评论

Land subsidence monitoring based on PS-InSAR Persistent Scatterers identification with spectral analysis method 10

Land subsidence monitoring based on PS-InSAR Persistent Scat...

引用

10th International Symposium on Land Subsidence, TISOLS 2020

作者： Zhou, Di Yu, Jie Zhu, Lin Wang, Yanbing Zhang, Jing Jiao, Shuai Shu Chen, Ren College of Geospatial Information Science and Technology Capital Normal University Beijing100048 China College of Resource Environment and Tourism Capital Normal University Beijing100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Beijing100048 China Beijing Laboratory of Water Resources Security Beijing Municipal Education Commission Beijing100048 China Key Laboratory of 3-Dimensional Information Acquisition and Application Ministry of Education Beijing100048 China

Layover occurs as a consequence of the slant range scale distortion in Synthetic Aperture Radar (SAR) data and it is commonly observed in the images acquired over urban areas. There may be two or more Persistent Scatterers (PSs) in one pixel. Moreover, these PSs do not have amplitude stability and spatial coherence. The threshold method used in the Persistent Scatterer Interferometric (PSI) SAR technique cannot identify the PS with two scatterers in urban, the accuracy of urban land subsidence is reduced. To solve this problem, we used Fast Fourier Transform (FFT) convert PSs in frequency domain during PS identification process of PSI, by observing their characteristics in the frequency domain, the layover scatterers can be identified and separated. The results of simulation experiment show that by analyzing the peak distribution characteristics of PSs in the elevation direction under the relatively even space baseline, PSI with FFT can identify single scatterers and layover scatterers. After separating the layover scatterers, the reliability of PSs identification are improved. For the real data experiment, we use 31 Sentinel-1A IW images covering Beijing from 2014 to 2016 as data sources. The results show that the proposed method can effectively identify layover scatterers which cannot be identified by the threshold method in urban, reducing the effect of layover scatterers, improving the accuracy of urban land subsidence monitoring. ©Author(s) 2020.

关键词： Fast Fourier transforms

来源：评论

学校读者我要写书评

暂无评论

Slope Gradient Impacts on Rill Morphological Characteristics: laboratory Experiment

SSRN

引用

SSRN 2022年

作者： He, Ji-Jun Sun, Li-Ying Duan, Guang-Yao Cai, Qiang-Guo Base of the State Laboratory of Urban Environmental Processes and Digital Modeling Elementary Educational College Resources Environment and GIS Key Lab of Beijing Capital Normal University Beijing100048 China Key Laboratory of Water Cycle and Related Land Surface Processes Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences China College of Resources and Environment University of Chinese Academy of Sciences Beijing100101 China State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation Chinese Academy of Sciences Ministry of Water Resources Yangling 712100 China

Rill erosion is one of the most important surface erosion processes on hillslopes. Rill morphological parameters are of great significance for the accurate prediction of rill erosion amount. In the present study, the rill morphological parameters and their spatial distributions were investigated using indoor rainfall simulation experiments in combination with 3D terrestrial laser scanning technique. Moreover, the optimal rill morphological indicators for rill erosion evaluation were selected based on the relationship of rill morphological parameters and erosion amount. The results showed that total rill length (L), rill density (ρ), maximum width (Wmax), the degree of contour line departure (μ) and shape ratio (η) increased with the increase of slope gradient, whilst the mean rill depth (Dmean), mean rill width (Wmean) and width/depth ratio (W/D) decreased with the increase of slope gradient. The spatial distribution pattern of each rill morphology parameter was also changed with slope gradient, showing differences in upper slope, central slope and lower slope. Most of rill morphological parameters were highly correlated with rill erosion amount, except the mean rill width (Wmean), degree of contour line departure (μ), and rill density (ρ). The plane area of rill (Parea) or the degree of rill dissection (δ) was selected as the optimal morphological parameter to predict rill erosion amount, followed by the maximum area of cross section (CSmax), the maximum rill depth (Dmax), and the mean rill depth (Dmean). In particular, the parameters of CSmax and Dmax are recommended for rill erosion estimation based on the convenience and ease of data acquisition. © 2022, The Authors. All rights reserved.

关键词： Morphology

来源：评论

学校读者我要写书评

暂无评论

Examining multi-level poverty-causing factors of farm household

Examining multi-level poverty-causing factors of farm househ...

引用

2019 ISPRS and GEO Workshop on Geospatially-enabled SDGs Monitoring for the 2030 Agenda

作者： Jiang, Yuewen Wang, Yanhui Qi, Wenping Beijing Key Laboratory of Resource Environment and Geographic Information System Capital Normal University Beijing100048 China Ministry of Education Key Laboratory of 3-Dimensional Information Acquisition and Application Capital Normal University Beijing100048 China State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation Capital Normal University Beijing100048 China

In view of the current research on the factors of poverty at home and abroad, most of them have less background effects on scale and the mechanism. This study uses a multi-level linear regression model and a geographic detector to jointly detect the poverty influencing factors in the study area. This study mainly draws the following three conclusions: (1) There are background effects on the scale of the poverty-stricken factors in the study area, and the background effects have a great impact. (2) At different scales there are significant poverty-stricken factors. (3) Different research methods lead to differences in research results. © Authors 2019. CC BY 4.0 License.

关键词： Regression analysis

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：