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Digital close-range photogrammetric application to small-scale physical simulation experiment

中国有色金属学会会刊：英文版 2011年第S3期21卷 681-685页

作者： LI Chun-yi1, CUI Xi-min2, YU Yi-ju3 1. School of surveying and Landing Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China 2. College of Geoscience and surveying Engineering, China University of Mining and Technology, Beijing 100083, China 3. surveying and mapping press, Beijing 100045, China School of surveying and Landing Information Engineering Henan Polytechnic University Jiaozuo 454003 China College of Geoscience and surveying Engineering China University of Mining and Technology Beijing 100083 China surveying and mapping press Beijing 100045 China

In order to research the possibility of digital close-range photogrammetric surveying in small scale physical simulation experiment, physical model coinciding with engineering practice was constructed based on similar theory. The datum processing method and surveying precision of digital close-range photogrammetric were analyzed. And the function relationship between overburden subsidence factor qr and the ratio z/H of stratum horizon z and mining depth H was researched. The results show that surveying points position mean error along horizontal direction is ±0.131 mm and vertical direction is ±0.192 mm. Therefore, multi-taking station cross direction digital close-range photogrammetric can completely satisfy the precision need of physical simulation experiment. And the empirical formula can be utilized to represent evolution law of stratum subsidence factor.

关键词： close-range photogrammetric physical simulation light-rays adjustment surveying precision subsidence factor

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Wavelet modulus maxima method for on-line wavelength location of pulsed lidar in CO_2 differential absorption lidar detection

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Photonics Research 2016年第2期4卷 74-83页

作者： Wei Gong Chengzhi Xiang Feiyue Mao Xin Ma Ailin Liang State Key Laboratory of Information Engineering in surveying Mapping and Remote Sensing Wuhan University Collaborative Innovation Center for Geospatial Technology Hubei Collaborative Innovation Center for High-efficiency Utilization of Solar Energy School of Remote Sensing and Information Engineering Wuhan University

Differential absorption lidar(DIAL) is an excellent technology for atmospheric CO2 detection. However, the accuracy and stability of a transmitted on-line wavelength are strictly required in a DIAL system. The fluctuation of a tunable pulsed laser system is relatively more serious than that of other laser sources, and this condition leads to a large measurement error for the lidar signal. These concerns pose a significant challenge in on-line wavelength calibration. This study proposes an alternative method based on wavelet modulus maxima for the accurate on-line wavelength calibration of a pulsed laser. Because of the different propagation characteristics of the wavelet transform modulus maxima between signal and noise, the singularities of a signal can be obtained by detection of the local modulus maxima in the wavelet transform maximum at fine scales. Simulated analysis shows that the method is more accurate than the general method such as quintic polynomial fitting and can steadily maintain high calibration precision at different signal-to-noise ratios(SNRs). Last, 16 groups of real experiments were conducted to verify the simulated analysis, which shows that the proposed method is an alternative for accurately calibrating an on-line wavelength. In addition, the proposed method is able to suppress noises in the process of wavelength calibration, which gives it an advantage in accurate on-line wavelength calibration with a low SNR.

关键词： line length DIAL CO

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A method of dynamic positioning with the medium and long baseline for aerial measurement scenarios

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Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 2019年第7期48卷 871-878页

作者： Zhang, Yuxi Zhang, Xiaohong Liu, Quanhai Zhu, Feng School of Geodesy and Geomatics Wuhan University Wuhan 430079 China Changzhou Institute of surveying and mapping Changzhou 213002 China

Medium and long baseline kinematic relative positioning with a single base station will be affected by atmospheric residual errors and the ambiguities could not be fixed fast. Therefore, the performance of long-baseline relative positioning with low ambiguity-fixed rate is not as good as short-baseline situations. While considering baselines varying from short to long in airborne scenes, we propose a new method to improve the performance of kinematic relative positioning. First, high precision ionospheric delays can be easily obtained from the ambiguity-fixed resolutions in short-baseline scenes when the air just taking off. Second, the subsequent ionospheric delays are predicated epoch by epoch based on previous ionospheric delays. At last, filter with ionosphere predication constrained is implemented to fix the ambiguities quickly and obtain continuous high-precision positioning results. In this paper, the characteristics of double-differenced ionospheric residual errors for the dynamic measurement scenarios with long-baseline are analyzed. A sliding window will be applied for modeling and prediction of ionospheric delays. Next, we have discussed the implementation conditions, performance of positioning and the ambiguity resolution with this proposed method. The presented algorithm is evaluated by a set of airborne data and the results show that the new scheme can obtain the 100 % fixing rate nearly and centimeter-level positioning accuracy in long baseline relative positioning with single base station as long as a few minutes short-baseline data. With this method, the costs of airborne measurement tasks will be significantly reduced. © 2019, surveying and mapping press. All right reserved.

关键词： Kinematics

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Intelligent remote sensing satellite and remote sensing image real-time service

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Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 2019年第12期48卷 1586-1594页

作者： Wang, Mi Yang, Fang State Key Laboratory of Information Engineering in surveying Mapping and Remote Sensing Wuhan University Wuhan 430079 China DFH Satellite Co. Ltd. Beijing 100094 China

The traditional data acquisition, processing and application mode of satellite remote sensing system can't meet the application requirements of satellite remote sensing image popularization and real-time, and it is urgent to develop intelligent remote sensing satellite system to solve the problem of on-orbit processing and intelligent service of remote sensing image. This paper first expounded the development of intelligent remote sensing satellite, and introduced the characteristics of intelligent remote sensing satellite. Then the article gave a detailed introduction to the intelligent remote sensing satellite on-orbit processing architecture, service mode and key algorithms involved in on-orbit processing. Finally, the paper explored the service scenario and service mode of Luojia-3-01 satellite based on the design and development of Luojia-3-01,and prospected the development of intelligent remote sensing satellite under the background of 5G, 6G, and artificial intelligence era. © 2019, surveying and mapping press. All right reserved.

关键词： Data acquisition

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A survey of the research progress in automated generalization of submarine terrain data

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Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 2022年第7期51卷 1588-1605页

作者： Wu, Fang Du, Jiawei Wu, Fanghua Institute of Geospatial Information Information Engineering University Zhengzhou 450001 China University of Aerospace Engineering Beijing 101416 China Xi'an Research Institute of surveying and mapping Xi'an 710054 China

The submarine terrain data influences human cognition, exploration and utilization of the ocean largely. The generalization of submarine terrain data is one of the key researches of nautical chart generalization and oceanographic spatial data processing. Usually, the generalization of submarine terrain data belongs to map generalization. However, influenced by many factors, such as historical origin, disciplinary system, application target and so on, the generalization of submarine terrain data is often regarded as a relatively independent and special research content in map generalization. In this paper, the specificities of submarine terrain data generalization are explained at first. Furthermore, the development of submarine terrain data generalization is summarized from three aspects, i.e., the data enrichments, implementation methods and quality evaluations of submarine terrain data generalization. And then, three common use cases of submarine terrain data generalization are given. Finally, the development trend of submarine terrain data generalization is further discussed based on its content deficiency, technique upgrading and application prospect. © 2022 SinoMaps press. All rights reserved.

关键词： Submarines

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BOOK REVIEW

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Geo-Spatial Information Science 2017年第1期20卷 56-56页

作者： Deren Li State Key Laboratory of Information Engineering in surveying Mapping and Remote SensingWuhan UniversityChina

Remote sensing image fusion:a practical guide,by Christine Pohl and John van Genderen,Boca Raton,London,New York,CRC press,Taylor and Francis Group,September,2016,266 pp.,£89.00(hardback),ISBN 9781498730020 Written by two of the best-known researchers in the field of remote sensing fusion,this book gives a good introduction to the subject of remote sensing image *** textbook is relevant to newcomers and specialists alike because it provides in-depth explanations,as well as new insights on recent advances in the *** will find this to be a very practical guide to enter this exciting *** book has seven chapters,which I’ll briefly introduce in the following paragraphs,before discussing the key features of this book.

关键词： technology. explanation field.

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A new vehicle motion constraint model with parameter autonomous learning and analysis on inertial drift error suppression

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Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 2022年第7期51卷 1249-1258页

作者： Zhang, Xiaohong Zhou, Yuhui Zhu, Feng Hu, Haojie Chinese Antarctic Center of surveying and mapping Wuhan University Wuhan 430079 China School of Geodesy and Geomatics Wuhan University Wuhan 430079 China Key Laboratory of Geospace Environment and Geodesy Ministry of Education Wuhan University Wuhan 430079 China

Accurate, continuous and reliable location information is the basic condition for in-vehicle navigation applications. Under the premise of not adding other sensors, integrating GNSS, MEMS, on-board CAN sensors and vehicle motion constraint information is the most practical and low-cost vehicle multi-fusion navigation scheme. In the vehicle motion constraints, reasonable configuration of the relevant parameters is the key to making the constraints work fully. Thus, focusing on the vehicle non-integrity constraints, this article uses multiple regression and deep learning methods to build a new vehicle motion constraint model with parameter autonomous learning. Moreover, a new idea of directly learning lateral/vertical velocity parameters in the observation domain is proposed, which has better constraint effect than the old variance domain parameter adjustment method. The experiments show that compared with the traditional method of adjusting parameters in the variance domain, the new model with parameter autonomous learning in the observation domain has a significant improvement in accuracy. The inertial estimation error using the multivariate regression models is reduced by 69.6% - 81.2% in the horizontal position, while the use of deep learning is reduced by 60.0% ~77.3%. At the same time, the horizontal relative positioning accuracy is improved by 75.2% and 65.0% respectively, the new model can effectively improve the maintenance ability of vehicle positioning accuracy when GNSS failure. © 2022 SinoMaps press. All rights reserved.

关键词： Navigation

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Progress and perspective of point cloud intelligence

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Cehui Xuebao/Acta Geodaetica et Cartographica Sinica 2019年第12期48卷 1575-1585页

作者： Yang, Bisheng Dong, Zhen State Key Laboratory of Information Engineering in surveying mapping and Remote Sensing Wuhan University Wuhan 430079 China Engineering Research Center for Spatio-temporal Data Smart Acquisition and Application Ministry of Education of China Wuhan University Wuhan 430079 China

With the rapid development of the reality capture, such as laser scanning and oblique photogrammetry, point cloud has become the third important data source following vector maps and imagery, and also plays an increasingly important role in scientific research and engineering in the fields of earth science, spatial cognition, and smart city, and so on. However, how to acquire valid and accurate three-dimensional geospatial information from point clouds has become the scientific frontier and the urgent demand in the field of surveying and mapping as well as the geoscience applications. To address the challenges mentioned above, point cloud intelligence came into being. This paper summarizes the state-of-the art of point cloud intelligence in acquisition equipment, the intelligent processing, scientific research and the major engineering applications, focusing on its three important areas: the theoretical methods, the key techniques of intelligent processing and the major engineering applications. Finally, the promising development tendency of the point cloud intelligence is summarized. © 2019, surveying and mapping press. All right reserved.

关键词： Big data

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Drainage pattern recognition method considering local basin shape based on graph neural network

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International Journal of Digital Earth 2023年第1期16卷 593-619页

作者： Wenning Wang Haowen Yan Xiaomin Lu Yi He Tao Liu Wende Li Pengbo Li Fang Xu Faculty of Geomatics Lanzhou Jiaotong UniversityLanzhouPeople’s Republic of China Lanzhou Ji Er Ai Si Spatial Information Technology Company Limited LanzhouPeople’s Republic of China National-Local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring LanzhouPeople’s Republic of China Gansu Provincial Engineering Laboratory for National Geographic State Monitoring LanzhouPeople’s Republic of China People’s Republic of China Navigation Publication press TianjinPeople’s Republic of China

Drainage pattern recognition is crucial for geospatial understanding and hydrologic ***,drainage pattern recognition methods employ geometric measures of overall and local features of river networks but lack measures of river basin unit shape features,so that potential correlations between river segments are usually ignored,resulting in poor drainage pattern recognition *** order to overcome this problem,this paper proposes a supervised graph neural network method that considers the local basin unit shape of river ***,based on the overall hierarchy of the river networks,the confluence angle of river segments and the shape of river basin units,multiple drainage pattern classification features are ***,typical drainage pattern samples from the multi-scale NSDI and USGS databases are used to complete the training,validation and testing *** results show that the drainage pattern indexes proposed can describe the characteristics of different drainage *** method can effectively sample the adjacent river segments,flexibly transfer the associated pattern features among river segment neighbours,and aggregate the deeper characteristics of the river networks,thus improving the drainage pattern recognition accuracy relative to other methods and reliably distinguishing different drainage patterns.

关键词： River drainage pattern recognition Basin unit shape supervised learning graph neural networks

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Research on spatial calculating analysis model of landuse change

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Journal of Geographical Sciences 2004年第3期14卷 359-365页

作者：张新长潘琼赵元 Department of Remote Sensing and GIS Engineering Sun Yat-Sen University Guangzhou 510275 China Map press House of Guangdong Province Guangzhou 510075 China Department of Remote Sensing and GIS Engineering Sun Yat-Sen University Guangzhou 510275 China

The spatial calculating analysis model is based on GIS overlay. It will compartmentalize the land in research district into three spatial types: unchanged parts, converted parts and increased parts. By this method we can evaluate the numerical model and dynamic degree model for calculating land-use change rates. Furthermore, the paper raises the possibility of revising the calculating analysis model of spatial information in order to predicate more precisely the dynamic changing level of all types of land uses. In the most concrete terms, the model is used mainly to understand changed area and changed rates (increasing or decreasing) of different land types from microcosmic angle and establish spatial distribution and spatio-temporal principles of the changing urban lands. And we will try to find out why the situation can take place by combining social and economic situations. The result indicates the calculating analysis model of spatial information can derive more accurate procedure of spatial transference and increase of all kinds of land from microcosmic angle. By this model and technology we can conduct the research of land-use spatio-temporal structure evolution more systematically and more deeply, and can obtain a satisfactory result. The result will benefit the rational planning and management of urban land use of developed coastal areas in China in the future.

关键词： land use dynamic change spatial calculating analysis model

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