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Integrating urban morphology and land surface temperature characteristics for urban functional area classification

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Geo-Spatial information Science 2022年第2期25卷 337-352页

作者： Bin Li Yefei Liu Hanfa Xing yuan Meng Guang Yang Xiaoding Liu Yaolong Zhao College of Geography and Environment Shandong Normal UniversityJinanChina Beidou Research Institute Faculty Of EngineeringSouth China Normal UniversityFoShanChina school of Geography South China Normal UniversityGuangzhouChina Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South china Ministry of Natural ResourcesGuangzhouChina Department of Land Surveying and Geo-Informatics The Hong Kong Polytechnic UniversityHong KongChina Institute of Surveying and Mapping Department of Natural Resources of Guangdong ProvinceGuangzhouChina

The classification of urban functional areas plays an important role in urban planning and resource *** previous studies have confirmed that different urban func-tional areas have different morphological structures and Land Surface Temperature(LST)characteristics,these two types of characteristics have rarely been fully integrated and used for functional area *** this paper,a new framework for classifying urban functional areas is proposed by combining urban morphological features and LST ***,metrics are constructed from three levels,namely,building,road and region,which are used to portray urban morphology;LST is retrieved using thermal infrared remote sensing to reflect LST features with four metrics:the average temperature,maximum temperature,temperature difference and standard deviation of ***,the functional areas are classified into four categories:service/public land,commercial land,residential land and industrial land.A random forest algorithm is used to effectively fuse the features of these two categories and classify the functional *** effectiveness of the proposed framework is tested in the study area of Shenzhen City,Guangdong *** results show that the combined classification accuracy of the proposed classification method is 0.85,which is 0.26 higher than that of the classification model based on urban morphology and 0.1 higher than that of the classification model based on LST *** proposed framework verifies that the integration of LST features into urban functional area classification is reliable and effectively combines urban morphology and LST features for functional area classification.

关键词： Urban function classification urban morphology random forest Land Surface Temperature(LST)

Estimation of Rice Aboveground Biomass by UAV Imagery with Photosynthetic Accumulation Models

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Plant Phenomics 2023年第3期5卷 418-434页

作者： Kaili Yang Jiacai Mo Shanjun Luo Yi Peng Shenghui Fang Xianting Wu Renshan Zhu yuanjin Li Ningge yuan Cong Zhou Yan Gong school of remote sensing and information engineering Wuhan UniversityWuhanChina Lab for remote sensing of Crop Phenotyping Wuhan UniversityWuhanChina College of Life Sciences Wuhan UniversityWuhanChina

The effective and accurate aboveground biomass(AGB)estimation facilitates evaluating crop growth and site-specific crop *** that rice accumulates AGB mainly through green leaf photosynthesis,we proposed the photosynthetic accumulation model(PAM)and its simplified version and compared them for estimating *** methods estimate the AGB of various rice cultivars throughout the growing season by integrating vegetation index(Ⅵ)and canopy height based on images acquired by unmanned aerial vehicles(UAV).The results indicated that the correlation of Ⅵ and AGB was weak for the whole growing season of rice and the accuracy of the height model was also limited for the whole growing *** comparison with the NDVI-based rice AGB estimation model in 2019 data(R^(2)=0.03,RMSE=603.33 g/m^(2))and canopy height(R^(2)=0.79,RMSE=283.33 g/m^(2)),the PAM calculated by NDVI and canopy height could provide a better estimate of AGB of rice(R^(2)=0.95,RMSE=136.81 g/m^(2)).Then,based on the time-series analysis of the accumulative model,a simplified photosynthetic accumulation model(SPAM)was proposed that only needs limited observations to achieve R^(2) above *** PAM and SPAM models built by using 2 years of samples successfully predicted the third year of samples and also demonstrated the robustness and generalization ability of the *** conclusion,these methods can be easily and efficiently applied to the UAV estimation of rice AGB over the entire growing season,which has great potential to serve for large-scale field management and also for breeding.

关键词： Biomass cultivar season

Mass balance of the Antarctic Ice Sheet from 2013 to 2018 estimated using the input-output method with updated remote sensing products

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Science china Earth Sciences 2023年第7期66卷 1478-1492页

作者： yuan CHENG Gang HAI Xiangbin CUI Da LV Gang QIAO Rongxing LI Institute for the Conservation of Cultural Heritage School of Cultural Heritage and Information ManagementShanghai UniversityShanghai 200444China Center for Spatial information Science and Sustainable Development Tongji UniversityShanghai 200092China College of Surveying and Geo-Informatics Tongji UniversityShanghai 200092China Polar Research Institute of china Shanghai 200136China

The Antarctic Ice Sheet(AIS)has been losing ice mass and contributing to the rise in the global sea-level(GSL)for the last 4 decades,as quantified by using satellite *** developed a framework for implementing the state-of-the-art input-output(IO)method that has the advantage of explicit estimation of the mass balance of individual glaciers,basins and the *** estimated the mass balance of the AIS from 2013 to 2018 using improved observations and updated datasets recently made available,including annual ice flow velocity maps from the Inter-mission Time Series of Land Ice Velocity and Elevation(ITS_LIVE)dataset,the Bed Machine and the Princess Elizabeth Land(PEL)Earth System Science Data(ESSD)datasets,and the surface mass balance from the RACMO 2.3 *** example,using the improved ice thickness data,the proposed method for ice discharge estimation enables a 10%reduction of uncertainty in ice *** the period of 2013–2018,an ice discharge acceleration of 6.9±6.5 Gt yr^(–2)in West Antarctica(WA)was detected,which contributed significantly to the estimated mass loss of~1069 Gt(–178.2±108.9 Gt yr^(–1))in the *** the other hand,Queen Maud Land,East Antarctica(EA),showed clearly a mass gain rate of 56.0±10.0 Gt yr^(–1)due to the regional increase in surface mass *** results extended the estimation period by 3 years in comparison to the published study using the same annual velocity maps from the ITS_LIVE ***,our results,along with those from other studies using the IO method,reassures the acceleration of recent mass loss in WA and Wilkes Land in EA,which are caused by glacier thinning and ice shelf basal *** with the long-term mass balance record since 1979,our results suggest that the mass loss in AIS accelerated in the last *** developed framework can be modified for mass balance estimation of the AIS or for other ice sheets by using velocity maps from other satellite data or from differen

关键词： Antarctic Ice Sheet Mass balance Input-output method BedMachine ITS_LIVE

TO–YOLOX: a pure CNN tiny object detection model for remotesensing images

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International Journal of Digital Earth 2023年第1期16卷 3882-3904页

作者： Zhe Chen yuan Liang Zhengbo Yu Ke Xu Qingyun Ji Xueqi Zhang Quanping Zhang Zijia Cui Ziqiong He Ruichun Chang Zhongchang Sun Keyan Xiao Huadong Guo school of Mathematics and Physics Chengdu University of TechnologyChengduPeople’s Republic of China Key Laboratory of Digital Earth Science Aerospace Information Research InstituteChinese Academy of SciencesBeijingPeople’s Republic of China International Research Centre of Big Data for Sustainable Development Goals BeijingPeople’s Republic of China Geomathematics Key Laboratory of Sichuan Province Chengdu University of TechnologyChengduPeople’s Republic of China Digital Hu Line Research Institute Chengdu University of TechnologyChengduPeople’s Republic of China school of Management Science Chengdu University of TechnologyChengduPeople’s Republic of China school of Earth Science and Resources China University of Geosciences(Beijing)BeijingPeople’s Republic of China MNR Key Laboratory of Metallogeny and Mineral Assessment Institute of Mineral ResourcesChinese Academy of Geological SciencesBeijingPeople’s Republic of China

remote sensing and deep learning are being widely combined in tasks such as urban planning and disaster ***,due to interference occasioned by density,overlap,and coverage,the tiny object detection in remote sensing images has always been a difficult ***,we propose a novel TO–YOLOX(Tiny Object–You Only Look Once)***–YOLOX possesses a MiSo(Multiple-in-Singleout)feature fusion structure,which exhibits a spatial-shift structure,and the model balances positive and negative samples and enhances the information interaction pertaining to the local patch of remote sensing ***–YOLOX utilizes an adaptive IOU-T(Intersection Over Uni-Tiny)loss to enhance the localization accuracy of tiny objects,and it applies attention mechanism Group-CBAM(group-convolutional block attention module)to enhance the perception of tiny objects in remote sensing *** verify the effectiveness and efficiency of TO–YOLOX,we utilized three aerial-photography tiny object detection datasets,namely VisDrone2021,Tiny Person,and DOTA–HBB,and the following mean average precision(mAP)values were recorded,respectively:45.31%(+10.03%),28.9%(+9.36%),and 63.02%(+9.62%).With respect to recognizing tiny objects,TO–YOLOX exhibits a stronger ability compared with Faster R-CNN,RetinaNet,YOLOv5,YOLOv6,YOLOv7,and YOLOX,and the proposed model exhibits fast computation.

关键词： Tiny object detection TO-YOLOX remote sensing image deep learning attentionmechanism

Spatiotemporal estimation of hourly 2-km ground-level ozone over china based on Himawari-8 using a self-adaptive geospatially local model

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Geoscience Frontiers 2022年第1期13卷 204-216页

作者： yuan Wang Qiangqiang yuan Liye Zhu Liangpei Zhang school of Geodesy and Geomatics Wuhan UniversityWuhanHubei 430079China school of Atmospheric Science Sun Yat-sen UniversityGuangzhouGuangdong 510275China The Key Laboratory of Geospace Environment and Geodesy Ministry of EducationWuhan UniversityWuhanHubei 430079China The State Key Laboratory of information engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanHubei 430079China

Ground-level ozone(O_(3))is a primary air pollutant,which can greatly harm human health and *** present,data fusion frameworks only provided ground-level O_(3) concentrations at coarse spatial(e.g.,10 km)or temporal(e.g.,daily)*** photochemical pollution continues increasing over china in the last few years,a high-spatial–temporal-resolution product is required to enhance the comprehension of ground-level O_(3) formation *** address this issue,our study creatively explores a brand-new framework for estimating hourly 2-km ground-level O_(3) concentrations across china(except Xinjiang and Tibet)using the brightness temperature at multiple thermal infrared *** the spatial heterogeneity of ground-level O_(3),a novel Self-adaptive Geospatially Local scheme based on Categorical boosting(SGLboost)is developed to train the estimation *** results show that SGLboost performs well in the study area,with the R2 s/RMSEs of 0.85/19.041 lg/m^(3) and 0.72/25.112 lg/m^(3) for the space-based cross-validation(CV)(2017–2019)and historical space-based CV(2019),***,SGLboost achieves distinctly better metrics than those of some widely used machine learning methods,such as e Xtreme Gradient boosting and Random *** to recent related works over china,the performance of SGLboost is also more *** the spatial distribution,the estimated results present continuous spatial patterns without a significantly partitioned boundary *** addition,accurate hourly and seasonal variations of ground-level O_(3) concentrations can be observed in the estimated results over the study *** is believed that the hourly 2-km results estimated by SGLboost will help further understand the formation mechanisms of ground-level O_(3) in china.

关键词： Spatiotemporal estimation Air pollution Ground-level O_(3) SGLboost china

Development in the application of laser-induced breakdown spectroscopy in recent years:A review

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Frontiers of physics 2021年第2期16卷 45-69页

作者： Lian-Bo Guo Deng Zhang Lan-Xiang Sun Shun-Chun Yao Lei Zhang Zhen-Zhen Wang Qian-Qian Wang Hong-Bin Ding yuan Lu Zong-Yu Hou Zhe Wang wuhan National Laboratory for Optoelectronics(WNLO) Huazhong University of Science and TechnologyWuhan 430074China State Key Laboratory of Robotics Shenyang Institute of AutomationChinese Academy of SciencesSheyang 110016China school of Electric Power South China University of TechnologyGuangzhou 510640China State Key Laboratory of Quantum Optics and Quantum Optics Devices Institute of Laser SpectroscopyShanxi UniversityTaiyuan 030006China State Key Laboratory of Multiphase Flow in Power engineering Xi'an Jiaotong UniversityXi'an 710049China Key Laboratory of Photonic information Technology School of Optics and PhotonicsBeijing Institute of TechnologyBeijing 100081China school of Physics Dalian University of TechnologyNo.2 Linggong RoadGanjingzi DistrictDalian 116024China Optics and Optoelectronics Laboratory Ocean University of ChinaQingdao 266100China State Key Lab of Power Systems Department of Energy and Power EngineeringTsinghua UniversityBeijing 100084China

Laser-induced breakdown spectroscopy(LIBS)has been widely studied due to its unique advantages such as remote sensing,real-time multi-elemental detection and none-to-little *** the efforts of researchers around the world,LIBS has been developed by leaps and ***,in recent years,more and more Chinese LIBS researchers have put tremendous energy in promoting LIBS *** is worth mentioning that the application of LIBS in a specific field has its special application background and technical difficulties,therefore it may develop in different stages.A review summarizing the current development status of LIBS in various fields would be helpful for the development of LIBS technology as well as its applications especially for Chinese LIBS community since most of the researchers in this field work in *** the present work,we summarized the research status and latest progress of main research groups in coal,metallurgy,and water,*** on the current research status,the challenges and opportunities of LIBS were evaluated,and suggestions were made to further promote LIBS applications.

关键词： laser-induced breakdown spectroscopy application

Multi-sensor image registration using multi-resolution shape analysis

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Journal of Zhejiang university-Science A(Applied Physics & engineering) 2006年第4期7卷 549-555页

作者： yuan Zhen-ming WU Fei ZHUANG Yue-ting school of Computer Science and Technology. Zhejiang university Hangzhou 310027 China school of information engineering Hangzhou Teacher＇s College Hangzhou 310036 China

Multi-sensor image registration has been widely used in remote sensing and medical image field, but registration performance is degenerated when heterogeneous images are involved. An image registration method based on multi-resolution shape analysis is proposed in this paper, to deal with the problem that the shape of similar objects is always invariant. The contours of shapes are first detected as visual features using an extended contour search algorithm in order to reduce effects of noise, and the multi-resolution shape descriptor is constructed through Fourier curvature representation of the contour’s chain code. Then a minimum distance function is used to judge the similarity between two contours. To avoid the effect of different resolution and intensity distribution, suitable resolution of each image is selected by maximizing the consistency of its pyramid shapes. Finally, the transformation parameters are estimated based on the matched control-point pairs which are the centers of gravity of the closed contours. Multi-sensor Landsat TM imagery and infrared imagery have been used as experimental data for comparison with the classical contour-based registration. Our results have been shown to be superior to the classical ones.

关键词： Image registration Shape descriptor Feature matching Multi-resolution representation

Distributed Kalman filter for UWB/INS integrated pedestrian localization under colored measurement noise

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Satellite Navigation 2021年第1期2卷 305-314页

作者： yuan Xu Jing Cao Yuriy SShmaliy yuan Zhuang school of Electrical engineering University of JinanJinanChina Department of Electronics engineering Universidad de GuanajuatoSalamancaMexico State Key Laboratory of information engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Shandong Beiming Medical Technology Co. LtdJinanChina.

Colored Measurement Noise(CMN)has a great impact on the accuracy of human localization in indoor environments with Inertial Navigation System(INS)integrated with Ultra Wide Band(UWB).To mitigate its influence,a distributed Kalman Filter(dKF)is developed for Gauss-Markov CMN with switching Colouredness Factor Matrix(CFM).In the proposed scheme,a data fusion filter employs the difference between the INS-and UWB-based distance *** main filter produces a final optimal estimate of the human position by fusing the estimates from local *** effect of CMN is overcome by using measurement differencing of noisy *** tests show that the proposed dKF developed for CMN with CFM can reduce the localization error compared to the original dKF,and thus effectively improve the localization accuracy.

关键词： Distributed filtering Kalman filter Colored measurement noise Human localization

An address regional tessellation method for spatial subdivision and geocoding in digital earth system

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International Journal of Digital Earth 2015年第10期8卷 825-839页

作者： Tan Ningsheng Yang Chongjun Yang LiuZhong Liu yuan State Key Laboratory of remote sensing Science Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina Graduate school University of Chinese Academy of SciencesBeijingChina Urban-Rural Planning Management Center Ministry of Housing and Urban-Rural Development of the People’s Republic of ChinaBeijingChina

With the increased use of locational information,spatial location referencing and coding methods have become much more important to the mining of both geographical and nongeographical data in digital earth ***,current methods of geocoding,based on reverse lookup of coordinates for a given address,have proven too lossy with respect to administrative and socioeconomic *** paper proposes a spatial subdivision and geocoding model based on spatial address regional tessellation(SART).Given a hierarchical address object definition,and based on the‘region of influence’characteristics of an address,SART creates multiresolution spatial subdivisions by irregular and continuous address *** model reflects most of the geographical features and many of the social and economic implications for a given *** also better reflects the way people understand addresses and spatial *** also propose an appropriate method of geocoding for standard addresses(SART-GC).The codes generated by this method can record address footprints,hierarchical relationships,and spatial scales in a single data ***,by applying our methods to the Shibei District of Qingdao,we demonstrate the suitability of SART-GC for multi-scale spatial information representation in digital earth systems.

关键词： address spatial tessellation spatial reference geocoding digital earth