A high-resolution remote sensing image change detection method and system

A technology of remote sensing image and detection method, which is applied in the field of high-resolution remote sensing image change detection, can solve the problem of low detection accuracy of image change, and achieve the effect of improving detection efficiency and detection accuracy

Active Publication Date: 2019-04-02
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0006] Embodiments of the present invention provide a method and system for detecting changes in high-resolution remo

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  • A high-resolution remote sensing image change detection method and system
  • A high-resolution remote sensing image change detection method and system
  • A high-resolution remote sensing image change detection method and system

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Embodiment Construction

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is a part of the embodiments of the present invention, not all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.

[0027] It should be noted that the terms "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and not necessarily used to describe a specific sequence or sequence. It should be understood that the data used in this way can be interchanged under ap...

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Abstract

The invention discloses a high-resolution remote sensing image change detection method and system. The method comprises the steps of obtaining neighborhood characteristics of each pixel in two time-phase images; inputting the neighborhood features into a branch convolutional neural network model to obtain types of the image, wherein the types is a change type and an unchanged type, the branch convolutional neural network model is obtained by carrying out unsupervised pre-training on an image, the branch convolutional neural network model comprises an input layer, a branch network, a full connection layer and a classification layer, the branch network is used for taking neighborhood features as tags and carrying out convolution dimension reduction on the neighborhood features, and the classification layer is used for classifying the image into different categories. According to the present invention, the technical problem that the image change detection precision is not high in the prior art is solved.

Description

Technical field [0001] The invention relates to the field of high-resolution remote sensing image change detection, in particular to a method and system for detecting changes in high-resolution remote sensing image. Background technique [0002] Both the surface ecosystem and human social activities are dynamically developing and evolving. Real-time accurate acquisition of surface change information is of great significance for better protecting the ecological environment, managing natural resources, studying social development, and understanding the relationship and interaction between human activities and the natural environment. [0003] At present, many change detection methods proposed at home and abroad can basically be divided into two categories: pixel-oriented change detection and object-oriented change detection. Pixel-oriented change detection includes traditional image algebra, image transformation and so on. The most representative image algebra method is the change ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06N3/088G06V20/13G06V10/50G06N3/045G06F18/2135G06F18/214
Inventor 张德政杨攀栗辉徐聪阿孜古丽·吾拉木丁瑞东
Owner UNIV OF SCI & TECH BEIJING
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