A method of monitoring port-specific features using multi-spectral analysis

Abstract

The invention discloses a method for monitoring specific features in a port by using multi-spectral analysis, which includes the following steps: firstly, after sampling the acquired original image to reduce the resolution, extracting the fuzzy boundary, and then optimizing the fuzzy boundary through an active contour model to obtain the fuzzy ground object, and obtain the outline and position of the fuzzy object; then project on the fuzzy object and obtain a set of typical relevant feature points; then perform wavelet decomposition on the spectrum, remove the high-frequency part, and interactively convert the wavelet coefficients of the same frequency band As features, they are combined to form a feature spectrum extraction base library, feature points are selected in the feature spectrum extraction base library, and feature spectra are obtained through matrix algorithms and interpolation algorithms. By comparison, the calculation of fuzziness can be avoided, and the accuracy of recognition can be improved while reducing the amount of calculation through the specificity and fault tolerance of the characteristic spectrum.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for monitoring specific features of a port by using multispectral analysis. Background technique [0002] With the gradual development of sea transportation, the port, as the main component of sea transportation, has been paid more and more attention by people, and has become an important consideration in sea transportation planning. In the construction of the port, it is first necessary to obtain the features and positional relationship of the port. [0003] Due to the particularity of the port, it is unrealistic to take on-the-spot shooting, and through aerial photography, due to technical limitations, it is impossible to accurately put all the features of the port in the same scale environment. With the development of remote sensing technology, based on image analysis and processing technology, remote sensing technology already has the function of high-resol...

AI Technical Summary

Problems solved by technology

[0008] (2) For the ground objects that need to be identified, their specific characteristics are not clear, and the characteristic parameters cannot be adjusted in real time according to the real-time remote sensing images. However, in different environments, the characteristic parameters are different. If they are directly applied, it will be It leads to the triggering of the correction algorithm, and the greater the difference, the greater the amount of calculation to identify and correct will become very large

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