Full-convolutional-network aircraft detection method based on typical example mining
A fully convolutional network and detection method technology, applied in the field of full convolutional network aircraft detection, can solve problems such as low visual similarity, decreased recall rate of aircraft detection, and reduced training network performance, so as to achieve the effect of improving performance and
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[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0043] The present invention provides a full convolutional network aircraft detection method based on typical example mining. The method includes the following steps: obtaining training samples of remote sensing images; preprocessing the training samples to obtain the scale and scale of the expanded aircraft labeling truth box Aspect ratio; automatic mining of typical aircraft examples; construction of the correspondence between typical aircraft ...
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