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A small-sample remote sensing image classification method based on prototype correction

A remote sensing image and classification method technology, applied in the field of image processing, can solve problems such as poor classification performance and deep network model overfitting, and achieve the effects of improving classification accuracy, reducing background irrelevant information noise, and improving category representation capabilities

Active Publication Date: 2022-12-02
NORTHWESTERN POLYTECHNICAL UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is that when the number of samples is insufficient, the deep network model is overfitted and the classification performance is poor

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  • A small-sample remote sensing image classification method based on prototype correction
  • A small-sample remote sensing image classification method based on prototype correction
  • A small-sample remote sensing image classification method based on prototype correction

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Embodiment Construction

[0040] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments of the present invention.

[0041]It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0042] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinations thereof. ...

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Abstract

The invention discloses a small-sample remote sensing image classification method based on prototype correction, which comprises the following steps: step 1, setting an overall network framework for small-sample remote sensing image classification; step 2, pre-training a feature extractor and a self-attention model ; Step 3, expand the support set sample; Step 4, use the expanded support set to correct the prototype; Step 5, use the corrected and expanded support set prototype and classifier to predict the query set sample, and get the final classification result. The invention can effectively extract the salient features of remote sensing images by using the self-attention model, and can reduce the influence of background irrelevant information noise; by correcting the prototype features of each category of the support set, the category representation ability of the features can be improved, thereby improving the small sample condition classification accuracy of remote sensing images.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a small sample remote sensing image classification method based on prototype correction. Background technique [0002] In recent years, deep learning has made breakthroughs in image processing, computer vision and other fields, and has also promoted the development of remote sensing image classification technology. Traditional image classification algorithms have been difficult to meet the performance and intelligence requirements of image processing in practical applications. The deep learning algorithm independently realizes the analysis and processing of image features by imitating the brain's cognition, and has powerful feature learning and representation capabilities, and has become the mainstream method of current image classification. [0003] Currently, image classification methods usually rely on a large amount of labeled data and require a long tra...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V10/764G06V20/10G06V10/46G06V10/82G06N3/04G06N3/08
CPCG06V20/13G06V10/462G06N3/045G06F18/214G06F18/241
Inventor 耿杰曾庆捷蒋雯邓鑫洋
Owner NORTHWESTERN POLYTECHNICAL UNIV
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