Remote sensing image target recognition method based on visual word bag model

Abstract

The invention discloses a remote sensing image target recognition method based on a visual word bag model and belongs to the technical field of image recognition. The remote sensing image target recognition method based on the visual word bag model aims to overcome the defect that a traditional remote sensing image target detection and recognition algorithm is poor in effect, and the visual word bag model is introduced into a high-resolution remote sensing image to be used for detection and recognition of a target; meanwhile, in order to simplify a visual word codebook to obtain simplified visual words with highest discriminability, the method combines correlation and redundancy analysis to remove the visual words which are uncorrelated, weak in correlation and redundant in the visual word codebook, the visual words which are the most important to the recognition of the target are selected, the calculation amount of the subsequent tests is reduced, efficiency is improved, and a new research orientation is provided for detection and recognition of the remote sensing image target.

Description

technical field [0001] The invention relates to a remote sensing image target recognition method, in particular to a remote sensing image target recognition method based on a visual bag-of-words model, and belongs to the technical field of image recognition. Background technique [0002] With the rapid development of remote sensing technology, the spatial resolution of remote sensing images is getting higher and higher, and it has become an important research direction to locate and identify objects of interest in remote sensing images. Using remote sensing images to detect targets has broad application prospects in both military and civilian fields. Especially in the military, the use of remote sensing images to detect important military targets (such as aircraft, tanks, missile silos, etc.) has been used in national defense construction. [0003] There are two commonly used target recognition algorithms: one is data-driven from the bottom up, and the other is knowledge-dr...

AI Technical Summary

Problems solved by technology

However, due to the large scale of the visual word codebook, it generally contains hundreds or even thousands of visual words, and the scale of the visual word codebook is particularly important for subsequent target detection, which will affect the results and efficiency of the entire process.

Images