NAVIGATION AND REMOTE SENSING PAYLOADS AND METHODS OF THE SARVANT UNMANNED AERIAL SYSTEM

被引:0
|
作者
Molina, P. [1 ]
Fortuny, P. [1 ]
Colomina, I. [1 ]
Remy, M. [2 ,3 ]
Macedo, K. A. C. [2 ,3 ]
Zunigo, Y. R. C. [2 ,3 ]
Vaz, E. [2 ,3 ]
Luebeck, D. [2 ,3 ]
Moreira, J. [2 ,3 ]
Blazquez, M. [4 ]
机构
[1] Inst Geomat, Castelldefels, Spain
[2] OrbiSat Remote Sensing, Campinas, SP, Brazil
[3] OrbiSat Remote Sensing, Sao Jose Dos Campos, Brazil
[4] GeoNumerics, Barcelona, Spain
来源
UAV-G2013 | 2013年
关键词
SAR interferometry; UAV; orientation; INS/GNSS; topographic mapping;
D O I
暂无
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
In a large number of scenarios and missions, the technical, operational and economical advantages of UAS-based photogrammetry and remote sensing over traditional airborne and satellite platforms are apparent. Airborne Synthetic Aperture Radar (SAR) or combined optical/SAR operation in remote areas might be a case of a typical "dull, dirty, dangerous" mission suitable for unmanned operation -in harsh environments such as for example rain forest areas in Brazil, topographic mapping of small to medium sparsely inhabited remote areas with UAS-based photogrammetry and remote sensing seems to be a reasonable paradigm. An example of such a system is the SARVANT platform, a fixed-wing aerial vehicle with a six-meter wingspan and a maximum-take-of-weight of 140 kilograms, able to carry a fifty-kilogram payload. SARVANT includes a multi-band (X and P) interferometric SAR payload, as the P-band enables the topographic mapping of densely tree-covered areas, providing terrain profile information. Moreover, the combination of X-and P-band measurements can be used to extract biomass estimations. Finally, long-term plan entails to incorporate surveying capabilities also at optical bands and deliver real-time imagery to a control station. This paper focuses on the remote-sensing concept in SARVANT, composed by the aforementioned SAR sensor and envisioning a double optical camera configuration to cover the visible and the near-infrared spectrum. The flexibility on the optical payload election, ranging from professional, medium-format cameras to mass-market, small-format cameras, is discussed as a driver in the SARVANT development. The paper also focuses on the navigation and orientation payloads, including the sensors (IMU and GNSS), the measurement acquisition system and the proposed navigation and orientation methods. The latter includes the Fast AT procedure, which performs close to traditional Integrated Sensor Orientation (ISO) and better than Direct Sensor Orientation (DiSO), and features the advantage of not requiring the massive image processing load for the generation of tie points, although it does require some Ground Control Points (GCPs). This technique is further supported by the availability of a high quality INS/GNSS trajectory, motivated by single-pass and repeat-pass SAR interferometry requirements.
引用
收藏
页码:275 / 280
页数:6
相关论文
共 50 条
  • [41] A review of remote-sensing unmanned aerial vehicles in the mining industry
    Loots, M.
    Grobbelaar, S.
    van der Lingen, E.
    JOURNAL OF THE SOUTHERN AFRICAN INSTITUTE OF MINING AND METALLURGY, 2022, 122 (07) : 387 - 396
  • [42] Applications of unmanned aerial vehicle images on agricultural remote sensing monitoring
    Wang, L. (wanglimin01@caas.cn), 1600, Chinese Society of Agricultural Engineering (29):
  • [43] The positioning system use for autonomous navigation of unmanned aerial vehicles
    Zhang, Qi
    Wei, Yaoxing
    Li, Xiao
    Xu, Han
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 5064 - 5069
  • [44] A compact guidance, navigation, and control system for unmanned aerial vehicles
    Georgia Institute of Technology, Atlanta, GA 30332-0150
    不详
    不详
    J. Aerosp. Comput. Inf. Commun., 2006, 5 (187-213):
  • [45] An Architecture for Automatic Tuning of the Navigation System of Unmanned Aerial Vehicles
    Catena, A.
    Melita, C. D.
    Muscato, G.
    2013 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS), 2013, : 592 - 598
  • [46] Visual-Based Navigation System for Unmanned Aerial Vehicles
    Kaniewski, Piotr
    Grzywacz, Wojciech
    2017 SIGNAL PROCESSING SYMPOSIUM (SPSYMPO), 2017,
  • [47] Machine Vision System Errors for Unmanned Aerial Vehicle Navigation
    Lindner, Lars
    Sergiyenko, Oleg
    Rivas-Lopez, Moises
    Ivanov, Mykhailo
    Rodriguez-Quinonez, Julio C.
    Hernandez-Balbuena, Daniel
    Flores-Fuentes, Wendy
    Tyrsa, Vera
    Muerrieta-Rico, Fabian N.
    Mercorelli, Paolo
    2017 IEEE 26TH INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), 2017, : 1615 - 1620
  • [48] Gas Sensing System using An Unmanned Aerial Vehicle
    Pineres-Espitia, G.
    Butt, Shariq Aziz
    Canate-Masson, M.
    Alvarez-Navarro, A.
    Hassan, Syed Areeb
    Gochhait, Saikat
    2021 6TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT), 2021,
  • [49] Using Unmanned Aerial Vehicle Remote Sensing and a Monitoring Information System to Enhance the Management of Unauthorized Structures
    He, Yuanrong
    Ma, Weiwei
    Ma, Zelong
    Fu, Wenjie
    Chen, Chihcheng
    Yang, Cheng-Fu
    Liu, Zhen
    APPLIED SCIENCES-BASEL, 2019, 9 (22):
  • [50] Temporal interpolation of land surface fluxes derived from remote sensing - results with an unmanned aerial system
    Wang, Sheng
    Garcia, Monica
    Ibrom, Andreas
    Bauer-Gottwein, Peter
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 24 (07) : 3643 - 3661