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A new algorithm for localizing engineering objects on multispectral images based on the Viola and Jones method has been developed. The proposed algorithm uses multichannel features allowing to construct classifiers that are sensitive to features of joint brightness distribution and the brightness distribution in different channels. The algorithm described in the paper provides a precision value of 0.96 and a recall value of 0.99 in the problem of localizing oil storage tank images in a set of aerospace images. The proposed algorithm can be used for visual analytics and automatic detection of various critical objects in aerospace images.

Using of Viola and Jones Method to Localize Objects in Multispectral Aerospace Images based on Multichannel Features