{"title":"Application of Unmanned Aerial Vehicle Oblique Photogrammetry to Investigation of High Slope Rock Structure","authors":"Zhen Ye, Qiang Xu, Qian Liu, Xiu-jun Dong, Xiaochen Wang, Ningyan Hao","doi":"10.13203/J.WHUGIS20200077","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20200077","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"45 1","pages":"1739-1746"},"PeriodicalIF":0.0,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46221844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Artificial intelligence diagnosis based on lung CT (computed tomography) image is one of the effective auxiliary diagnostic methods for novel coronavirus disease 2019 (COVID-19). A lightweight COVID-19 classification model based on attention mechanisms within and between slices was designed using neural networks and digital image processing techniques. Based on this, a COVID-19 intelligent diagnostic system was developed that integrates early screening, lesion evaluation, lesion segmentation, and lung and lesion pixel distribution histograms. We collected pulmonary CT images of 247 COVID-19 patients, 152 other pneumonia patients, and 92 healthy individuals from the People's Hospital of Wuhan University, and prepared them as a training dataset for network training. The experimental results show that the accuracy of the proposed method in the screening task and lesion assessment task on the validation set reaches 88.63% and 89.65%, respectively. The average diagnostic time per person in the algorithm model is shortened to 0.4 seconds, and the system has important application value.
Pub Date : 2020-05-05DOI: 10.13203/J.WHUGIS20200206
Z. Liying, Liao Dongchen, Ren Jingli
Coronavirus disease 2019(COVID-19) has broken out worldwide. Up to Apr.21, 2020, more than 2.45 million confirmed cases have been diagnosed, and more than 0.17 million deaths have been reported. Based on the development process of China's epidemic, this paper proposes an improved discrete-time multi-stage time-delay dynamic model to extract the transmission characteristics of epidemic, the impact of prevention and control interventions (prevention and control intervention effect) and the impact of medical resource availability, and establishes an empirical transmission dynamics method of COVID-19 analysis.Among them, the experience extraction is based on the model and the epidemic data released by World Health Organization(WHO), and realized by parameter inversion. Furthermore, by using the proposed method, this paper analyzes the epidemic stages in Italy, Spain, Germany and the United States, predicts the possible trend of epidemic situation in different countries under different measures, and gives suggestions on rapid control. Analysis results show that the China's epidemic has been basically controlled, Spain, Germany and Italy have reached the peak, and the United States is in a rapid growth period. According to the empirical transfer dynamics method, Spain, Germany and Italy should continue to adhere to the current prevention and control intervention mode, and the United States should intensify the efforts of prevention and control and make the epidemic enter the controllable stage as soon as possible.
{"title":"Analysis of COVID-19 by Discrete Multi-stage Dynamics System with Time Delay","authors":"Z. Liying, Liao Dongchen, Ren Jingli","doi":"10.13203/J.WHUGIS20200206","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20200206","url":null,"abstract":"Coronavirus disease 2019(COVID-19) has broken out worldwide. Up to Apr.21, 2020, more than 2.45 million confirmed cases have been diagnosed, and more than 0.17 million deaths have been reported. Based on the development process of China's epidemic, this paper proposes an improved discrete-time multi-stage time-delay dynamic model to extract the transmission characteristics of epidemic, the impact of prevention and control interventions (prevention and control intervention effect) and the impact of medical resource availability, and establishes an empirical transmission dynamics method of COVID-19 analysis.Among them, the experience extraction is based on the model and the epidemic data released by World Health Organization(WHO), and realized by parameter inversion. Furthermore, by using the proposed method, this paper analyzes the epidemic stages in Italy, Spain, Germany and the United States, predicts the possible trend of epidemic situation in different countries under different measures, and gives suggestions on rapid control. Analysis results show that the China's epidemic has been basically controlled, Spain, Germany and Italy have reached the peak, and the United States is in a rapid growth period. According to the empirical transfer dynamics method, Spain, Germany and Italy should continue to adhere to the current prevention and control intervention mode, and the United States should intensify the efforts of prevention and control and make the epidemic enter the controllable stage as soon as possible.","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"45 1","pages":"658-666"},"PeriodicalIF":0.0,"publicationDate":"2020-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44397285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.13203/J.WHUGIS20190092
K. Dai, G. Zhuo, Qiang Xu, Zhenhong Li, W. Li, W. Guan
{"title":"Tracing the Pre-failure Two-dimensional Surface Displacements of Nanyu Landslide, Gansu Province with Radar Interferometry雷达干涉测量对甘肃南峪乡滑坡灾前二维形变追溯","authors":"K. Dai, G. Zhuo, Qiang Xu, Zhenhong Li, W. Li, W. Guan","doi":"10.13203/J.WHUGIS20190092","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20190092","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-01-01DOI: 10.13203/J.WHUGIS20190098
Zhenhong Li, C. Song, C. Yu, R. Xiao, L. Chen, H. Luo, K. Dai, D. Ge, Y. Ding, Y. Zhang, Q. Zhang
{"title":"Application of Satellite Radar Remote Sensing to Landslide Detection and Monitoring: Challenges and Solutions卫星雷达遥感在滑坡灾害探测和监测中的应用: 挑战与对策","authors":"Zhenhong Li, C. Song, C. Yu, R. Xiao, L. Chen, H. Luo, K. Dai, D. Ge, Y. Ding, Y. Zhang, Q. Zhang","doi":"10.13203/J.WHUGIS20190098","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20190098","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-01DOI: 10.13203/J.WHUGIS20150757
Yakun He, T. Ai, Xin Du, Wenhao Yu
{"title":"Grid Pattern Recognition in Street Network Space by Vector Tessellation Method","authors":"Yakun He, T. Ai, Xin Du, Wenhao Yu","doi":"10.13203/J.WHUGIS20150757","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20150757","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"43 1","pages":"138-144"},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256241","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-01-01DOI: 10.13203/j.whugis20180295
Zhenhong Li, P. Li, D. Ding, H. Wang
{"title":"Research Progress of Global High Resolution Digital Elevation Models 全球高分辨率数字高程模型研究进展与展望","authors":"Zhenhong Li, P. Li, D. Ding, H. Wang","doi":"10.13203/j.whugis20180295","DOIUrl":"https://doi.org/10.13203/j.whugis20180295","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"82 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The CryoSat-2 is equipped with a synthetic aperture/interferometric radar altimeter that can accurately detect changes in sea and continental ice surface elevation. The interferometric data provided by its synthetic aperture interferometric mode (SARIn) can be used to invert ground elevation information using traditional differential interferometry techniques. However, the SARIn secondary product released by the European Space Agency does not fully utilize this information. Introduced the working principle of SARIn mode, and combined with traditional interferometry technology, proposed an algorithm and process for extracting digital elevation models using SARIn level 1b (L1b) data. Eliminate erroneous information in the data through data quality inspection; By selecting appropriate unwrapping starting points through signal strength and coherence, the interference data can be unwrapped row by row; Calculate the satellite perspective, combine the satellite attitude, velocity, position, and line of sight distance information to calculate the three-dimensional information of ground points, and finally interpolate to generate SARIn DEM (digital elevation model). Using this algorithm to perform interferometric processing on SARIn L1b data from January to April 2012, a digital elevation model of the local area of the Lambert Glacier Basin in Antarctica was obtained. By comparing ICESat DEM and RMAP DEM, it is shown that SARIn DEM has high accuracy and can meet the research of elevation changes in regions such as the North and South Poles.
Pub Date : 2017-01-01DOI: 10.13203/J.WHUGIS20150587
P. Li, Zhenhong Li, T. Li, C. Shi, J. Liu
{"title":"Wide-Swath InSAR Geodesy and Its Applications to Large-Scale Deformation Monitoring","authors":"P. Li, Zhenhong Li, T. Li, C. Shi, J. Liu","doi":"10.13203/J.WHUGIS20150587","DOIUrl":"https://doi.org/10.13203/J.WHUGIS20150587","url":null,"abstract":"","PeriodicalId":59659,"journal":{"name":"武汉大学学报(信息科学版)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66256664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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