Scene retrieval method based on geographical position information

Abstract

The invention discloses a scene retrieval method based on geographical position information. The scene retrieval method based on the geographical position information comprises the following steps that firstly, the geographic information and an overall situation descriptor of a scene image are retrieved in the retrieval process, and a space four-fork tree retrieval structure is structured; secondly, a similar image set is determined in a hierarchy verification mode in the inquiring process, and the information of the scene image to be inquired is obtained through the information of similar images in a vote mode. The overall situation descriptor is structured through the following steps that firstly, local characteristic points of the scene image are extracted, and the scene image is expressed into a set of the local characteristics; secondly, descriptors of the local characteristic points are quantized according to a visual vocabulary dictionary, and corresponding visual vocabularies are obtained; thirdly, the extracted visual vocabularies are collected and projected to a random projection matrix to obtain the overall situation descriptor of the scene image. By means of the scene retrieval method based on the geographical position information, many irrelevant images are efficiently filtered out, and the efficiency of spatial verification of the visual vocabularies and the accuracy rate of image matching are improved.

Description

technical field [0001] The invention relates to a real scene retrieval method based on geographic location information, which belongs to the field of image retrieval and recognition in digital image processing. Background technique [0002] Scene retrieval and recognition is an important research field in digital image processing, and researchers have proposed many methods for scene recognition. The current mainstream recognition method is the content-based scene recognition method, which extracts the features in the image, expresses the image as a feature vector, and selects an appropriate classifier for recognition. The existing content-based scene recognition methods can be divided into two categories according to the extracted features. The first type of method is based on the underlying feature method, which extracts the underlying features of the image to represent the image, such as: color histogram, etc. The second category is methods based on semantic features, wh...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is mainly to propose a scene retrieval method based on geographical information for the application requirements and existing efficiency problems of the existing outdoor scene retrieval

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