Drones - Applications最新文献

Land Use Information Quick Mapping Based on UAV Low- Altitude Remote Sensing Technology and Transfer Learning 基于无人机低空遥感技术和迁移学习的土地利用信息快速制图

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.74475

Lu Heng, Fu Xiao, Liu Chao, Li Longguo, Li Naiwen, Ma Lei

{"title":"Land Use Information Quick Mapping Based on UAV Low- Altitude Remote Sensing Technology and Transfer Learning","authors":"Lu Heng, Fu Xiao, Liu Chao, Li Longguo, Li Naiwen, Ma Lei","doi":"10.5772/INTECHOPEN.74475","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.74475","url":null,"abstract":"Obtaining surface spatio-temporal data rapidly, automatically and accurately is an impor- tant issue in agriculture informationization and intellectualization. Samples obtained by conventional manual visual interpretation are difficult to adapt the demands of land resources information extraction. Low altitude remote sensing technology as a kind of emerging technology for earth observation in recent years. Based on this, spatio-temporal data mining technology was introduced, and knowledge transfer learning mechanism was used, a novel landuse information classification method based on knowledge transfer learning (KTLC) was proposed. Firstly, new image was segmented by improved mean shift algorithm to obtain image objects. Secondly, the vector boundary of the objects and former historical landuse thematic map were matched and nested, invariant objects were obtained through overlay analysis, and purification of invariant object was finished by spectral and spatial information threshold filtering. The historical features category knowledge of thematic map was transferred to the new image objects. Finally, current images classification mapping was completed based on decision tree, and landuse clas sification mapping results were completed by the KTLC and eCognition for landuse infor - mation mapping classification (EC). The experimental results showed that KTLC could obtain accuracies equivalent to EC, and also outperforms EC in terms of efficiency.","PeriodicalId":365317,"journal":{"name":"Drones - Applications","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116036188","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}

引用次数: 4

Generalized Control Allocation Scheme for Multirotor Type of UAVs 多旋翼型无人机的广义控制分配方案

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.73006

D. Kotarski, J. Kasać

引用次数: 6

New Applications of 3D SLAM on Risk Management Using Unmanned Aerial Vehicles in the Construction Industry 三维SLAM在建筑行业无人机风险管理中的新应用

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.73325

Alfredo Toriz Palacios, José María Bedolla Cordero, M. R. Bello, Edgar Toriz Palacios, J. MartínezGonzález

引用次数: 12

Small to Medium UAVs for Civilian Applications in Indonesia 印度尼西亚民用小型到中型无人机

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.76426

F. S. Pranoto, Ari Sugeng Budiyanta, Gunawan SetyoPrabowo

{"title":"Small to Medium UAVs for Civilian Applications in Indonesia","authors":"F. S. Pranoto, Ari Sugeng Budiyanta, Gunawan SetyoPrabowo","doi":"10.5772/INTECHOPEN.76426","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.76426","url":null,"abstract":"Indonesian government needs a well-built, easy to operate unmanned aircraft systems (UAS) to perform various civilian missions as UAS are a well-known platform for dirty, dull, and dangerous missions. Hence, the Indonesian government has an organization that performs research and development of UAS, named as Aeronautic Technology Center. This organization is placed underneath Indonesian National Institute of Aeronautics and Space. The UAS developments in this institute are primarily driven by civilian uses; therefore, the UAS size, sensor types, and mission payload are optimized for civilian mis- sions. In order to produce the decent to the best quality of the aerial image, which is the essential product for various civilian missions, the UAS regularly flies under the cloud. For this reason, the Aeronautic Technology Center is only developing the LASE (low altitude, short-endurance) and the LALE (low altitude, long endurance) UAS type as of now. The UAS development was begun with LSU-01, followed by LSU-02, LSU-03, and LSU-05. The LSU-01, LSU-02, and LSU-03 are in the operational phase, while the LSU-05 is in the experimental Phase. In this chapter, the specification of the platforms and the sensor capabilities that are relevant with the demands of users in the civilian sector are described.","PeriodicalId":365317,"journal":{"name":"Drones - Applications","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114795397","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}

引用次数: 0

Smart Arduino Sensor Integrated Drone for Weather Indices: Prototype

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.76872

H. Mao, O. K. Paul, N. Yang, Lin Li

{"title":"Smart Arduino Sensor Integrated Drone for Weather Indices: Prototype","authors":"H. Mao, O. K. Paul, N. Yang, Lin Li","doi":"10.5772/INTECHOPEN.76872","DOIUrl":"https://doi.org/10.5772/INTECHOPEN.76872","url":null,"abstract":"Mostly, the conditions within an ecosystem as well as weather of a field affect crop pro - ductivity greatly. Different weather conditions produce different effects and different impact on the quality of the crop field or the ecosystem. Weather elements form a chain reaction, as the atmosphere is not the only one being affected. Atmospheric air tempera -ture, vapor pressure and relative humidity or moisture content can act together and form diverse effects on crops. These diverse effects turn to reduce radiation which is neces sary for plants, or increase rainfall patterns. Consistent high temperatures can increase the heat transfer to local bodies of water in addition to heating the air. Monitoring the climate and the weather conditions are important not only as an environmental baseline, but to maintain quality working conditions, marine studies and recreational safety. The parameters of climate are measurable, for example, atmospheric vapor pressure, temper - ature, precipitation and solar radiation, can be captured and recorded daily on the Smart Arduino Sensor Integrated Drone. Means and extreme datasets, maximum and minimum weather trends with deviations of lengthy time series would be calculated for each of these climate parameters which were considered in this study. These results are a simple form of climate indices, as they already describe changes in climate. All the readings and datasets are recorded on a cloud platform, as well as, in an installed microchip on the drone. Data synchronization is done with MAT-LAB and Arduino Programming Rule.","PeriodicalId":365317,"journal":{"name":"Drones - Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130917338","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}

引用次数: 4

Introductory Chapter: Drones 导论章:无人机

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/intechopen.76943

G. Dekoulis

引用次数: 1

The Use of Unmanned Aerial Vehicles by Urban Search and Rescue Groups 无人驾驶飞行器在城市搜索和救援小组中的使用

Drones - Applications Pub Date : 2018-06-27 DOI: 10.5772/INTECHOPEN.73320

M. Półka, S. Ptak, Łukasz Kuziora, Aneta Kuczyńska

引用次数: 6

Uncertainty of Object-Based Image Analysis for Drone Survey Images 基于目标的无人机调查图像分析的不确定性

Drones - Applications Pub Date : 2017-12-20 DOI: 10.5772/INTECHOPEN.72332

Lei Ma, Gaofei Yin, Zhenjin Zhou, Heng Lu, Manchun Li