Marine hyperspectral remote sensing image feature analysis method

Abstract

The invention discloses a marine hyperspectral remote sensing image feature analysis method. The method comprises the steps that S1, marine hyperspectral remote sensing image features are classified,including sea surfaces, wind fields, wave fields, flow fields, tides, frontal surfaces, etc.; and S2, analytic calculation of spatial image dimensional information, spectral dimensional information and feature spatial dimensional information in a hyperspectral remote sensing data waveband is performed on all remote sensing images obtained after classification in the step S1. According to the marine hyperspectral remote sensing image feature analysis method, the uppermost characteristic of hyperspectral data is fusion of the image dimensional information and the spectral dimensional information, and continuous spectral information of each ground object is obtained while surface spatial image information is acquired; and by setting a spectrum matching technology, n(th)-order derivatives of aspectrum essentially represent changes of waveforms absorbed by target objects and are spectral indexes of the abundance and states of the absorbing objects. Therefore, the problem that ground objectrecognition and classification precision is generally low through a hyperspectral remote sensing image feature analysis method in the prior art is effectively solved.

Description

technical field [0001] The invention relates to the technical field of feature analysis of hyperspectral remote sensing images, in particular to a feature analysis method for marine hyperspectral remote sensing images. Background technique [0002] In recent years, remote sensing technology has made great progress. The advantages of hyperspectral remote sensing images in describing ground truth information make them an important tool for object detection and classification. Hyperspectral image classification is a common technique for mining hyperspectral data information. Due to the huge amount of information in hyperspectral images, dimensionality reduction is required before classification. [0003] At present, the feature analysis methods of hyperspectral remote sensing images in the prior art often have low accuracy of object recognition and classification, so a feature analysis method of marine hyperspectral remote sensing images is needed. Contents of the invention...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides a feature analysis method of marine hyperspectral remote sensing images, which solves the problem that the feature analysis methods of hyperspectral remote sensing images in the prior art often have low accuracy in object recognition and classification