Abstract
In recent years, demand of unmanned aerial remote sensing tools is growing for ecological environment, flood disaster emergency response, land security monitoring and other remote sensing observation tasks. Building heterogeneous UAV remote sensing observation multi- task cluster system is the development goal in recent years. In order to complete the ecological construction of UAV remote sensing, vertical take-off and landing UAV plays an increasingly important role in many fields because of its characteristics of fast patrol and taking-off and landing without site restrictions. The main contents of this paper include the research on the development status of domestic vertical take-off and landing UAV, the analysis of UAVs for the aviation remote sensing application market and the introduction of typical UAV models, the application scenarios and case analysis of the vertical take- off and landing UAV in the field of remote sensing, and the application prospects and development trends of the vertical take- off and landing UAV in the field of remote sensing. Through extensive research and in-depth analysis, it is known that the vertical take-off and landing UAVs with fixed-wing are gradually replacing the dominant position of multi-rotor aircraft; vertical take-off and landing UAVs occupy 80.47% of the market share of remote sensing application drones; Diversified power, intelligent system, diversified layout, and small size are the development direction of vertical take-off and landing UAVs for remote sensing applications. This paper comprehensively expounded and analyzed the related content of vertical takeoff and landing UAVs for remote sensing applications, and provides reference and support for the ecological construction of remote sensing aviation drones.
| Translated title of the contribution | Current Status and Application Prospect Analysis of VTOL-UAVs for Remote Sensing Applications in China |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 496-503 |
| Number of pages | 8 |
| Journal | Journal of Geo-Information Science |
| Volume | 21 |
| Issue number | 4 |
| DOIs | |
| State | Published - 25 Apr 2019 |
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