Hyperspectral Image Classification Method and System Based on Stack Width Learning

A hyperspectral image and classification method technology, applied in the field of remote sensing impact processing and analysis, can solve the problems of difficulty in learning effective classification features, high sample complexity, and achieve the effect of small sample complexity
CN109615008BActive Publication Date: 2022-05-13HUAZHONG NORMAL UNIV
6 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Patents(China)
Current Assignee / Owner
HUAZHONG NORMAL UNIV
Publication Date
2022-05-13

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The present invention proposes a hyperspectral image classification method and system based on stack width learning. First, the input image is preprocessed, including normalization, wavelet decomposition and difference; secondly, a small number of samples are selected as training samples, and the stack width is used to The learning model learns the spatial spectral features of the hyperspectral image; then, the training samples are used to train the width learning classifier, and finally, the features of the test samples are input into the trained width learning classifier to obtain the class labels. Using the stack width learning model of the present invention can obtain more abstract spatial spectral features, so the method of the present invention can obtain very accurate classification results. Due to the characteristics of width learning, the present invention has less sample complexity, and only needs a small amount of training samples to obtain better classification results, so it is more conducive to practical application.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of remote sensing impact processing and analysis, and designs a hyperspectral image classification method and system, which can be used for resource management, scene interpretation, precision agriculture, urban planning, disaster prevention and mitigation, and the like. Background technique

[0002] As a cutting-edge technology in the field of remote sensing, hyperspectral remote sensing has a wide range of applications in military and civilian fields. The rich spectral information of hyperspectral images not only provides more information for object classification, but also brings a series of new problems of feature extraction and pattern recognition. Researchers have conducted in-depth research on a series of problems in hyperspectral image classification, such as high data dimensionality and few training samples. However, the above-mentioned problems have not been effectively solved so far.

[0003] Fi...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More