Unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system

Abstract

An unmanned aerial vehicle mounted light and small-sized self-stabilized flight multispectral imaging system adopts the multi-lens multi-detector light splitting mode and utilizes a management controller to perform synchronous exposure tactics on a detector group to realize simultaneous imaging of the target region in different bands, and image data and flight auxiliary data are packaged and stored by an on-board memory unit; images shot in the target region are transmitted to a ground workstation in real time through a viewer; in addition, a stable control module conducts two-axis system posture adjustment on the azimuth axis and the rolling axis so as to realize vertical or inclined imaging of the system, eliminate plane vibration and perturbance and also avoid influence on the shooting trace from the side flight and rolling of the plane, and the axis of the shooting region is always kept parallel to the trace. The system adopts the light, small and integrated design, is suitable for being built on a light and small-sized unmanned aerial vehicle, can be adaptable to civil fields, such as agriculture and forestry monitoring, water contamination monitoring, smart city planning construction, drug arresting and emergency rescue, and facilitates monitoring of dynamic targets.

Description

technical field [0001] The patent of the invention relates to a light and small self-stabilizing aerial multispectral imaging system carried by an unmanned aerial vehicle, which integrates multispectral imaging, storage, and stable control, and is suitable for the field of aerial multispectral remote sensing imaging of light and small unmanned aerial vehicles. Background technique [0002] Due to its high timeliness and high resolution, the remote sensing of light and small UAVs has become more and more widely used, and the demand for diversification of loads has increased. Multispectral cameras have become a new development direction. Factors such as crosswinds and vibrations in the aviation flight environment usually have a great impact on the quality of multispectral remote sensing images. In addition, due to the high requirements for the size and weight of the payload of light and small UAVs, and the constraints of the bandwidth of wireless transmission equipment, new re...

AI Technical Summary

Problems solved by technology

In addition, due to the high requirements for the size and weight of the payload of light and small UAVs, and the constraints of the bandwidth of wireless transmission equipment, new requirements are put forward for the storage of digital image machines. Many factors limit the development of multispectral cameras in the field of aerial remote sensing.

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