Landmark building identification and detection method based on deep learning

Abstract

The invention discloses a landmark building identification and detection method based on deep learning. The method comprises the following steps of inputting a to-be-identified landmark building imageinto a DenseNet network to obtain a feature block diagram containing the target building feature information, and then sending the feature block diagram into a region suggestion network to predict abinary category of the feature block diagram and the coordinates of a target building in an original image; completely mapping a prediction candidate box to the feature block diagram by using a RoI Agign method; finally, carrying out classification and frame regression on the more accurate feature block diagrams to obtain the prediction probabilities and the coordinate positions of different landmark buildings, removing the redundant candidate frames through a non-maximum suppression method, fusing the diagrams with the wider coverage regions, and finally realizing the identification and detection of the landmark buildings. According to the method, the prediction of the landmark building candidate frames is more accurate, the prediction range is larger, and the method has the better identification capability on the landmark building images in the complex environment.

Description

technical field [0001] The invention belongs to the field of deep learning application technology, in particular to the research on the recognition and detection of landmark buildings based on deep learning. Background technique [0002] In many cities, designers built model cities one after another according to the old architectural style. The emergence of these model cities not only lost the original historical and cultural heritage, but also lost the vitality that a city should have. , people began to get tired of this boring single building. A city is a concentrated expression of the progress and development of human material civilization and spiritual civilization, and buildings are the creative manifestation of human beings' history and culture of the city. In China, the concept of "iconic landscape" first appeared in 1999, but the proposer did not make a clear definition of it at that time. It is generally believed that a city's iconic landscape should refer to a sp...

AI Technical Summary

Problems solved by technology

The traditional method also requires manual design of features, which consumes a lot of time and energy, but the convolutional neural network can automatically extract the features in the image after training.

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