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Landscape Pattern of Ancient Terraces in Huangping County and Slopeto-Terrace Strategy

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Journal of Landscape Research 2016年第2期8卷 6-12页

作者： LAN An'jun ZHAN Fengli FU Yuwen ZHONG Jiusheng LIU Fayong YOU Boyu School of Geography and Environment Sciences Guizhou Normal University Monitoring Station of Soil and Water Conservation in Guizhou Province institute of South China Karst Guizhou Normal University Guiyang

Formation and development of ancient terraces proves that slope-to-terrace project is a signifi cant measure for conserving water and soil in mountainous areas. uav remote sensing technology was applied to obtain RS images with a resolution ratio of 0.1–0.5 m, Arc GIS was applied for data processing, and Fragstats3.3 was used to calculate characteristic indexes, to study landscape pattern of 4 ancient terraces in Huangping County, Guizhou Province. The results showed that terrace landscapes and woodland landscapes in the study area account for nearly 80% of the whole landscape(terrace 30%, woodland 50%); mean area of single fi eld is mainly concentrated between 100 m^2 and 200 m^2, and height between 0.7 m and 1.7 m, breadth 0.5 m and 0.6 m; most terraces have a gradient of 5–25°, accounting for 70% of the total number of fi eld. The water and soil conservation concept in the ancient terraces provides references for the slope-to-terrace project and the water and soil loss control of slope farmland.

关键词： Ancient terrace Landscape pattern Slope-to-terrace Huangping County

An Intelligent Data Routing Scheme for Multi-uav Avionics System Based on Integrated Communication Effectiveness

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国际计算机前沿大会会议论文集 2022年第2期 243-252页

作者： Yan Zou Meng Wu Shaoqing Zhang Feiyan Li Jiarun Chen Yazhuo Wang Chuan Lin Guangjie Han Shenyang Aircraft Design and Research institute AVIC ShenyangChina Daqing Oilfield Powerlift Pump Industry Co. Ltd.DaqingChina Hohai University ChangzhouChina Northeastern University ShenyangChina

The rapid development of information technology promotes the transformation and development of future air combat,frommechanization to informatization,intelligence,and multiplatform *** the multiplatform avionics system in the unmanned aerial vehicle(uav)-based network,we aim to address the data routing and sharing issues and propose an integrated communication effectiveness *** proposed integrated communication effectiveness is a hierarchical metric consisting of link effectiveness,node effectiveness,and data *** link quality,link stability,node honesty,node ability,and data value are concurrently taken into *** give the normal mathematical expression for the integrated communication *** propose a hop-by-hop routing scheme based on a Q-learning algorithm considering the proposed effectiveness *** results demonstrate that the proposed scheme is able to find the most efficient routing in the uav network.

关键词： Multiplatform avionics system uav Integrated communication effectiveness Q-learning

Automatic identifcation of building structure types using unmanned aerial vehicle oblique images and deep learning considering facade prior knowledge

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International Journal of Digital Earth 2023年第1期16卷 3348-3367页

作者： Leilei Zhang Guoxin Wang Weijian Sun State Key Laboratory of Coastal and Offshore Engineering Dalian University of TechnologyDalianPeople's Republic of China institute of Earthquake Engineering Faculty of Infrastructure EngineeringDalian University of TechnologyDalianPeople's Republic of China

Building structural type information is the foundation for seismic risk assessment and management since it reflects the behavior of buildings under seismic ***,in earthquake-prone regions,most of this information is out-of-date or *** paper proposes a deep learning-based method for automatically identifying building structural types from unmanned aerial vehicle(uav)oblique *** method consists of four steps:(1)collect facades of buildings with different structural types by web crawler technology as a sample set;(2)construct a convolutional neural network with a facade prior knowledge attention branch and train the model using the sample set;(3)extract building facades from uav oblique images based on the georeferencing results of feature points as the test set;(4)identify building structural types by inputting the test set into the trained *** cases have been selected to verify the feasibility and applicability of the *** average recall rate of 85%and the average F1 score of 83%have been achieved in areas with regular building *** method integrates multidisciplinary knowledge to provide a solution for rapid collection of building vulnerability information,and expands the role of oblique photography data in urban management and disaster prevention planning.

关键词： Oblique photography deep learning building structural types uav attention branch

无人驾驶飞行器制导系统的复合自适应控制器设计

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战术导弹控制技术 2005年第4期13卷 91-95页

作者： B.R.Andrievsky A.L.Fradkov 安德烈夫斯基夫拉德科夫刘洪兴柯剑锋张惠文 institute for Problems of Mechanical Engineering of Russian Academy of Sciences 61 Bolshoy av. V.O. 199178 Saint Petersburg Russia 俄罗斯科学院机械工程设计研究院中国人民解放军91640部队广东湛江 524064

论文介绍了无人驾驶飞行器自导引系统自动驾驶仪的一种复合自适应控制方法;自适应算法确保了在不同的飞行条件时达到预定的姿态运动动态特性.仿真结果表明,在存在明显的uav(无人驾驶飞行器)参数不确定性和时间关联的主回路情况下,复合... 详细信息

论文介绍了无人驾驶飞行器自导引系统自动驾驶仪的一种复合自适应控制方法;自适应算法确保了在不同的飞行条件时达到预定的姿态运动动态特性.仿真结果表明,在存在明显的uav(无人驾驶飞行器)参数不确定性和时间关联的主回路情况下,复合自适应控制器对于实现系统各项指定的性能指标行之有效的.

关键词：制导自适应控制前馈补偿器

Photogrammetric Survey of the Historical Church of Nossa Senhora do Rosário and São Benedito in Brazil

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Journal of Civil Engineering and Architecture 2020年第10期14卷 572-582页

作者： Luis Antônio Soares e Sousa Claudionor Ribeiro dos Santos Marília M.B.Teixeira Vale The Department of Geodetic Sciences Federal University of ParanáParaná81530-000Brazil institute of Geography Federal University of UberlândiaUberlândia38408-100Brazil Faculty of Architecture and Urbanism and Design Federal University of UberlândiaUberlândia38408-100Brazil

In the history of cities and society,architecture plays an important role in the materialization of buildings,in the ways of life and in the constitution of an *** architectural heritage is an essential task for the conservation,management and collection of knowledge,however it is a time consuming and costly ***,the application of digital aerial and terrestrial photogrammetry has made this process simpler,more agile and of relatively low *** this context,the objective of this study was to analyze the visual and geometric quality of the 3D model,of architectural heritage,generated by photogrammetric *** this end,topographic mapping(reference)and aerial and terrestrial photogrammetric surveys of the Church of Nossa Senhora do Rosário and São Benedito,in Estrela do Sul/MG,Brazil,which is a historical and cultural heritage of the country,were carried *** as a reference,the 3D topographic model was generated by the points collected with a total *** generate the photogrammetric 3D model,aerial photos were obtained using a uav(Unmanned Aerial Vehicle)and terrestrial photos,acquired at strategic *** both cases the PowerShot SX260HS camera was *** two georeferenced 3D models were analyzed visually,considering texture and completeness,and compared geometrically through coordinates of homologous ***,the photogrammetric 3D model presented results with a wealth of details far superior to the topographic ones and a geometry with centimetric discrepancies,showing that the method is suitable for generating 3D models relating to architectural heritage.

关键词： Photogrammetry RPAs(Remotely-Piloted Aircrafts) architecture historical patrimony church

基于经济型低空无人机对小麦重要产量表型性状的多生育时期获取和自动化分析

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农业大数据学报 2019年第2期1卷 19-31页

作者：丁国辉许昊温明星陈佳玮王秀娥周济南京农业大学作物表型交叉研究中心中英植物表型组学联合研究中心南京210095 江苏丘陵地区镇江农业科学研究所句容212400 南京农业大学作物遗传与种质创新国家重点实验室南京210095 英国厄尔汉姆研究中心(Earlham institute) 诺维奇科研院(Norwich Research Park)诺维奇英国NR47UZ

多尺度表型采集技术通过多种手段获取植物图像和光谱数据,进而基于各类计算机分析算法(如,计算机视觉和机器学习)进行表型分析,得到与产量、品质和抗逆等相关的性状信息,为作物遗传育种、栽培和农业生产提供高通量、大数据的技术支撑。... 详细信息

多尺度表型采集技术通过多种手段获取植物图像和光谱数据,进而基于各类计算机分析算法(如,计算机视觉和机器学习)进行表型分析,得到与产量、品质和抗逆等相关的性状信息,为作物遗传育种、栽培和农业生产提供高通量、大数据的技术支撑。小麦作为我国重要的粮食作物,其关键产量性状的全生育期量化分析有重要意义。本文详细介绍了部分重要的小麦产量相关性状,并通过使用经济型低空无人机对不同关键生育时期中的一些共同的产量性状进行了规模化采集。然后,基于无人机获取的可见光图像,通过第三方专业软件Pix4D完成了全试验田的拼接和三维点云重建,并通过自主开发的性状分析算法对一些重要产量性状和植被指数等完成了自动化分析。同时,针对18个不同的小麦基因型完成了关键生育时期的株高、植被指数、叶面积指数的提取。通过实例验证了基于经济型低空无人机开展小麦产量性状采集的有效方法和高通量分析技术。本研究对降低田间作物表型研究的门槛,促进我国各研究团队采用标准化表型数据采集,统一作物表型数据规范,以及推广使用开源软件自主开发自动化分析技术平台有重要意义。

关键词：小麦产量性状无人机表型技术高通量性状分析图像处理表型植物表型组学