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Classification of architectural styles in Chinese traditional settlements using remote sensing images and building facade pictures

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Journal of Geographical sciences 2024年第12期34卷 2457-2476页

作者： ZHANG Xiaoxia LI Shaodan CHEN Changyao School of Geographic Science Hebei Normal UniversityShijiazhuang050024China Hebei Technology Innovation Center for Remote Sensing Identification of Environmental Change Shijiazhuang050024China

The classification of Chinese traditional settlements(CTSs)is extremely important for their differentiated development and *** innovative double-branch classification model developed in this study comprehensively utilized the features of remote sensing(RS)images and building facade pictures(BFPs).This approach was able to overcome the limitations of previous methods that used only building facade images to classify ***,the features of the roofs and walls were extracted using a double-branch structure,which consisted of an RS image branch and BFP ***,a feature fusion module was designed to fuse the features of the roofs and *** precision,recall,and F1-score of the proposed model were improved by more than 4%compared with the classification model using only RS images or *** same three indexes of the proposed model were improved by more than 2%compared with other deep learning *** results demonstrated that the proposed model performed well in the classification of architectural styles in CTSs.

关键词： Chinese traditional settlements architectural style classification convolutional neural network remote sensing images building facade pictures

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Feature extraction and analysis of reclaimed vegetation in ecological restoration area of abandoned mines based on hyperspectral remote sensing images

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Journal of Arid Land 2024年第10期16卷 1409-1425页

作者： MAO Zhengjun WANG Munan CHU Jiwei SUN Jiewen LIANG Wei YU Haiyong College of Geology and Environment Xi'an University of Science and TechnologyXi'an 710054China Ningxia Hui Autonomous Region Remote Sensing Survey Institute Yinchuan 750021China

The vegetation growth status largely represents the ecosystem function and environmental *** remote sensing data can effectively eliminate the effects of surface spectral reflectance and atmospheric scattering and directly reflect the vegetation parameter *** this study,the abandoned mining area in the Helan Mountains,China was taken as the study *** on hyperspectral remote sensing images of Zhuhai No.1 hyperspectral satellite,we used the pixel dichotomy model,which was constructed using the normalized difference vegetation index(NDVI),to estimate the vegetation coverage of the study area,and evaluated the vegetation growth status by five vegetation indices(NDVI,ratio vegetation index(RVI),photochemical vegetation index(PVI),red-green ratio index(RGI),and anthocyanin reflectance index 1(ARI1)).According to the results,the reclaimed vegetation growth status in the study area can be divided into four levels(unhealthy,low healthy,healthy,and very healthy).The overall vegetation growth status in the study area was generally at low healthy level,indicating that the vegetation growth status in the study area was not good due to short-time period restoration and harsh damaged environment such as high and steep rock ***,the unhealthy areas were mainly located in Dawukougou where abandoned mines were concentrated,indicating that the original mining activities have had a large effect on vegetation *** ecological restoration of abandoned mines,the vegetation coverage in the study area has increased to a certain extent,but the amplitude was not *** situation of vegetation coverage in the northern part of the study area was worse than that in the southern part,due to abandoned mines mainly concentrating in the northern part of the Helan *** combination of hyperspectral remote sensing data and vegetation indices can comprehensively extract the characteristics of vegetation,accurately analyze the plant gr

关键词： hyperspectral remote sensing abandoned mine ecological restoration vegetation growth status vegetation index vegetation coverage

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Unraveling environmental influences on the spatial and temporal dynamics of cyanobacterial blooms in Lake Erhai during its early stage of eutrophication

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地球空间信息科学学报（英文版） 2024年第6期27卷中插14,1989-2007页

作者： Shangbo Yang Jianzhong Lu Xiaoling Chen Xuejiao Hou Zushuai Wei Jinru Wu State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhanChina School of Environmental Science and Engineering Southern University of Science and TechnologyShenzhenChina State Key Laboratory of Information Engineering in Surveying Mappingand Remote SensingWuhan UniversityWuhanChina School of Geospatial Engineering and Science Sun Yat-Sen UniversityGuangzhouChina South China Institute of Environmental Sciences Ministry of Ecology and EnvironmentGuangzhouChina

Lake Erhai,a lake in the early stage of eutrophication,has been threatened by algal blooms(particularly the overproliferation of blue-green algae),which can have an impact on drinking water safety and the lake's *** the governing factors of cyanobacterial blooms is critical for taking timely and effective action during this key eutrophication-transition ***,long-term records of cyanobacterial bloom and its key dominating factors remain *** is,therefore,essential to understand the bloom dynamics and the driving forces before any control strategies can be *** investigated the cyanobacterial phycocyanin concentration variability based on satellite observations from 2003 to 2019,by using the empirical orthogonal function *** observed a decrease in the coverage of the dominant mode of variability in phycocyanin magnitudes compared to the period 2003 to 2011,with variations primarily occurring in the northern *** largest variability was identified to be predominant in July,and an apparent timing shift in variability was observed in December 2016 and *** 95％quantile regression model indicated a distinct upper boundary response in cyanobacteria proliferation to the joint Total Nitrogen(TN)and Total Phosphorus(TP)concentrations,which occurred in summer from 2003 to *** apparent response of cyanobacterial bloom to TP was observed during the winters from 2016 to ***,water level and TN:TP ratio played a central role in summer from 2003 to 2011,while from 2016 to 2019,TN:TP ratio was found to dominate in the summer *** winter,air temperature turned out to be a significant modulating factor compared to water *** results suggest that implementing a phosphorus reduction strategy,while controlling TN:TP ratio and suitable water level manipulation,should be considered to ensure the sustainability of Lake Erhai,especially under a consistent global warming scenario.

关键词： Cyanobacterial phycocyanin concentration spatio-temporal variability nutrient reduction remote sensing

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Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery

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植物表型组学（英文） 2025年第1期7卷 126-138页

作者： Chengjian Zhang Zhibo Chen Riqiang Chen Wenjie Zhang Dan Zhao Guijun Yang Bo Xu Haikuan Feng Hao Yang School of Information Science and Technology Beijing Forestry UniversityBeijing100083China Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing100097China School of Information Science and Technology Beijing Forestry UniversityBeijing100083China Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs Information Technology Research CenterBeijing Academy of Agriculture and Forestry SciencesBeijing100097China

Accurate monitoring and spatial distribution of the leaf chlorophyll content(LCC)and canopy chlorophyll content(CCC)of individual apple trees are highly important for the effective management of individual plants and the promotion of the construction of modern smart ***,the estimation of LCC and CCC is affected by shadows caused by canopy structure and observation *** this study,we resolved the response rela-tionship between individual apple tree crown spectra and shadows through a three-dimensional radiative transfer model(3D RTM)and unmanned aerial vehicle(UAV)multispectral images,assessed the resistance of a series of vegetation indices(VIs)to shadows and developed a hybrid inversion model that is resistant to shadow *** results revealed that(1)the proportion of individual tree canopy shadows exhibited a parabolic trend with time,with a minimum occurring at ***,the reflectance in the visible band decreased with increasing canopy shadow ratio and reached a maximum value at noon,whereas the pattern of change in the reflectance in the near-infrared band was opposite that in the visible band.(2)The accuracy of chlorophyll content estimation varies among different VIs at different canopy shadow *** top five VIs that are most resistant to changes in canopy shadow ratios are the NDVI-RE,Cire,Cigreen,TVI,and GNDVI.(3)For the con-structed 3D RTM+GPR hybrid inversion model,only four VIs,namely,NDVI-RE,Cire,Cigreen,and TVI,need to be input to achieve the best inversion accuracy.(4)Both the LCC and the CCC of individual trees had good validation accuracy(LCC:R2=0.775,RMSE=6.86 μg/cm2,nRMSE=12.24％;CCC:R2=0.784,RMSE=32.33μg/cm2,and nRMSE=14.49％),and their distributions at orchard scales were characterized by considerable spatial *** study provides ideas for investigating the response between individual tree canopy shadows and spectra and offers a new strategy for minimizing the influence of shadow effect

关键词： Chlorophyll content Shadows Vegetation index(VI) Radiative transfer models(RTMs) Hybrid inversion model Individual apple tree crown

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Forest terrain and canopy height estimation using stereo images and spaceborne LiDAR data from GF-7 satellite

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地球空间信息科学学报（英文版） 2024年第3期27卷 811-821页

作者： Liming Du Yong Pang Wenjian Ni Xiaojun Liang Zengyuan Li Juan Suarez Wei Wei Institute of Forest Resource Information Techniques Chinese Academy of ForestryBeijingChina Key Laboratory of Forestry Remote Sensing and Information System National Forestry and Grassland AdministrationBeijingChina State Key Laboratory of Remote Sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina College of Resources and Environment University of Chinese Academy of SciencesBeijingChina Forest Research Northern Research StationMidlothianUK Institute of Science and Technology Information Yunnan Academy of Forestry and GrasslandKunmingChina

Accurate estimation of forest terrain and canopy height is crucial for timely understanding of forest *** Fen-7(GF-7)Satellite is China's first sub-meter-level three-dimensional(3D)mapping satellite for civilian use,which was equipped with a two-line-array stereo mapping camera and a laser altimeter system that can provide stereo images and full waveform LiDAR data *** of the existing studies have concentrated on evaluating the accu-racy of GF-7 for topographic survey in bare land,but few have in-depth studied its ability to measure forest terrain elevation and canopy *** purpose of this study is to evaluate the potential of GF-7 LiDAR and stereo image for forest terrain and height *** Airborne Laser Scanning(ALS)data were utilized to generate reference terrain and forest vertical *** validation test was conducted in Pu'er City,Yunnan Province of China,and encouraging results have *** GF-7 LiDAR data obtained the accuracy of forest terrain elevation with RMSE of 8.01 m when 21 available laser footprints were used for results verification;meanwhile,when it was used to calculate the forest height,R2 of 0.84 and RMSE of 3.2 m were obtained although only seven effective footprints were used for result *** canopy height values obtained from GF-7 stereo images have also been proven to have high accuracy with the resolution of 20 m x 20 m compared with ALS data(R2=0.88,RMSE=2.98 m).When the results were verified at the forest sub-compartment scale that taking into account the forest types,further higher accuracy(R2=0.96,RMSE=1.23 m)was *** results show that GF-7 has considerable application potential in forest resources monitoring.

关键词： Gao Fen-7(GF-7) spaceborne LiDAR stereo image Airborne Laser Scanning(ALS) forest height Pu'er

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Comprehensive Analysis of 100 MW Wind Farm Losses and Their Financial Impacts: A Study on Array Losses Across Multiple Turbines Using a RETScreen Expert Software

Comprehensive Analysis of 100 MW Wind Farm Losses and Their ...

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2024 International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, Tmrees24Gr 2024

作者： Abdulwahed, Hassan S. Mahmood, Faleh H. Resen, Ali K. University of Baghdad College of Science Department of Remote Sensing and GIS Baghdad Iraq University of Baghdad College of Science Remote Sensing Unit Iraq Ministry of Science and Technology Environment Water and Renewable Energy Directorate Baghdad Iraq

This study aimed to analyze and evaluate the influence of array losses on the financial sustainability and economic viability of wind farm projects with a capacity of 100 MW. The Al-Fajer site has been proposed for a feasibility study to assess the viability of building an onshore wind farm. The assessment of investment costs was conducted using the RETScreen program. The findings demonstrated that alterations in array losses impact the amount of energy exported to the grid, influencing changes in revenue, pre-tax internal rate of return (IRR), and net present value (NPV). When array losses in (case 1) decrease by 2%, that will positively impact financial feasibility factors. Therefore, it will lead to a gain in income for all turbines;the net present value (NPV) and pre-tax internal rate of return (IRR) values experienced an increase, indicating a positive impact on the project's profitability. When array losses in (case 2) increase by 2%, it will lead to negative results on the wind farm and, thus, reduce the energy exported to the grid;wind turbine revenue will experience a decline. This increase substantially affects the NPV and IRR, leading to decreases. The capacity factor experienced a drop, resulting in significant changes to the project's financial returns. The levelized cost of energy (LCOE) has increased due to decreased production, leading to higher prices. The simple payback likewise experienced a boost beyond its usual norms. © Published under licence by IOP Publishing Ltd.

关键词： Wind turbines

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Fast RCS Simulation of Target on the Sea Surface Based on the SBR and Advanced Two-scale Method

Fast RCS Simulation of Target on the Sea Surface Based on th...

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2024 Photonics and Electromagnetics Research Symposium, PIERS 2024

作者： Wang, Siyuan He, Zi Ding, Dazhi Liu, Lin Zhou, Ying Nanjing University of Science and Technology Nanjing China Beijing Institute of Remote Sensing Equipment China

ISBN: (纸本)9798350375909

Plenty of evidence show that the rough sea surface plays a leading role with regard to the composite electromagnetic scattering of the sea surface and the target. Shooting and Bouncing Ray (SBR) tracing mentioned in the related literature may encounter the following two problems. One is that the calculation time to consider the coupling between the two will be greatly increased under fine subdivision. The other is that the calculation accuracy is not high when the sea surface is simulated as a plane. In this paper, the hybrid calculation of Shooting and Bouncing Ray tracing and semi-deterministic complex sea surface with two-scale algorithm is used to predict the electromagnetic scattering. When a ray is irradiated to a surface element on the rough sea surface, a two-scale (KA+AIEM) algorithm is used to calculate the current scattering field. Using the two-scale algorithm, specifically, the scattering contribution of large scale rough surface is calculated by Kirchhoff approximation method and the improved integral equation method is used for the small scale, more accurate electromagnetic scattering calculation can be obtained. This algorithm can effectively shorten the time of sea surface calculation. When the ray is reflected between the target and the rough surface it is necessary to consider the Fresnel reflection coefficient to modify the reflection coefficient. Numerical results show that the scattering intensity of the incident wave is the largest in the mirror direction under different incident angles. Meanwhile, the side of the target and the sea surface form sometimes strong and sometimes weak coupling due to the change of the angle between the target and the sea surface, and the dominant of complex scattering will also change. © 2024 IEEE.

关键词： Surface scattering

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A Broadband Circularly Polarized Antenna with Top-Loaded Artificial Dielectric Layers

A Broadband Circularly Polarized Antenna with Top-Loaded Art...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zhang, Yongfang Feng, Xiaofeng Zhang, Meng Beijing Institute of Remote Sensing Equipment China University of Electronic Science and Technology of China China

ISBN: (纸本)9798350355581

A miniaturised broadband circularly polarized antenna working at Ka-band is proposed. The circular polarization of the antenna is achieved well by feeding the signal through two orthogonal probes. The broadband impedance transformation of the antenna is realised with free space through artificial dielectric layers (ADLs) loaded on the top, thus broadening the bandwidth of the antenna. The simulation results show that the impedance bandwidth of the antenna is 26.94 GHz37.55 GHz with a relative bandwidth of 33.41%, and the axial ratios within the bandwidth are all less than 3 dB. Meanwhile, an 8 × 8 array is formed by means of rotating feed, and the impedance bandwidth of the cells in the array is 29.87 GHz-38.85 GHz with a relative bandwidth of 26.13%. The above results have shown that this broadband circularly polarized antenna with an artificial dielectric layer carried on top has good application prospects in the field of communication. © 2024 IEEE.

关键词： Microwave antennas

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Wavefront-coded image restoration technology based on multi-scale deep neural networks

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Optics Express 2025年第10期33卷 21288-21305页

作者： Zhen, Zheng Yuan, Yiqiao Zhang, Bo Liang, Zonglin Li, Chenxiao Piao, Mingxu Dong, Keyan Jiang, Huilin School of Optoelectronic Engineering Changchun University of Science and Technology Changchun130022 China Beijing Institute of Remote Sensing Equipment Beijing100854 China Institute of Space Optoelectronic Technology Changchun University of Science and Technology Changchun130022 China

Optical imaging systems are significantly affected by aerodynamic thermal effects under varying flight conditions, resulting in complex image blurring. To address this challenge, this study proposes a novel wavefront-coded image restoration method based on a multi-scale deep autoencoder neural network (MS-DAE). By modulating blur levels and incorporating a multi-scale loss function with residual attention mechanisms, the proposed method achieves a remarkable improvement in peak signal-to-noise ratio (PSNR) by 16.03 dB and structural similarity index measure (SSIM) by 0.3834 compared to Wiener filtering;compared to the BaseNet model referenced in this paper, the proposed model achieves improvements of 5.69 dB and 0.026 in PSNR and SSIM, respectively, and demonstrates superior performance in detail restoration in the reconstructed images. The approach effectively restores image details, suppresses artifacts, and adapts to diverse flight conditions, demonstrating significant potential for practical applications. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Image coding

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Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

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IEEE Access 2025年 13卷 88278-88290页

作者： Xue, Zhaoxia Liu, Zhiwei Xue, Zhaohui Song, Tingqiang Qingdao University of Science and Technology School of Information Science and Technology Qingdao266061 China IFLYTEK Company Ltd. Hefei230088 China Hohai University College of Geography and Remote Sensing Nanjing211100 China

Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in three key aspects: 1) suboptimal graph topology construction due to fixed or heuristic-based edge definitions, 2) inefficient propagation of discriminative node features across heterogeneous regions, and 3) inadequate fusion of spatially correlated and spectrally discriminative patterns. To overcome these challenges, we propose a Spatial-Spectral Contrastive Graph Neural Network (SSCGNN), which introduces three novel components. First, we propose a directed graph reconstruction module that transforms conventional undirected graphs into diversity-aware topology through multi-head self-attention mechanisms. Second, we design a collaborative learning framework where the spatial graph network and spectral graph network mutually enhance feature extraction. Finally, we construct a graph contrastive learning module that augments edge representation learning under limited supervision. By constructing positive/negative edge pairs through spectral-spatial similarity metrics, it regularizes the graph structure to emphasize class-discriminative connections and suppress noisy inter-node relationships. Extensive experiments on four benchmark HSI datasets - University of Pavia (PU), Salinas Valley (SA), WHU-Hi-HanChuan (WHU-HH), and WHU-Hi-LongKou (WHU-HL) - demonstrate SSCGNN's superiority over state-of-the-art few-shot learning methods. With only 5 labeled samples per class, our model achieves overall accuracy (OA) values of: 93.36% (PU, +6.22% vs. baseline GCN), 98.37% (SA, +4.91% vs. spectral-spatial CNN), 84.68% (WHU-HH, +8.03% vs. meta-learning approaches), 95.87% (WHU-HL, +7.15% vs. graph attention networks). © 2013 IEEE.

关键词： Graph neural networks

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