The invention relates to a
scale invariant feature transform-based unmanned aerial vehicle
scene matching positioning method. The
scale invariant feature transform-based unmanned aerial vehicle
scene matching positioning method is characterized by comprising the following steps of 1, extracting
feature description vectors of an image of a matching target and a front-lower view of an unmanned aerial vehicle by a
scale invariant feature transform algorithm, 2, determining if the front-lower view in the frame and the image of the matching target are matching or not, and 3, if the front-lower view and the image of the matching target are matching, recording coordinates of a matching point in a
satellite map comprising the image of the matching target and the matching target, in the front-lower view of the unmanned aerial vehicle, calculating current position coordinates of the unmanned aerial vehicle in the
satellite map according to the coordinates of the matching point and carrying out positioning of the unmanned aerial vehicle, and if the front-lower view and the image of the matching target are not matching, reading an unmanned aerial vehicle front-lower view in the next frame and sequentially carrying out matching. The scale
invariant feature transform-based unmanned aerial vehicle
scene matching positioning method realizes accurate matching of a front-lower view of an unmanned aerial vehicle and a matching target in a
satellite map, determination of current position coordinates of the unmanned aerial vehicle according to a built unmanned aerial vehicle front-lower
view model, and positioning of the unmanned aerial vehicle.