Remote sensing image change detection method and system based on U-net improved algorithm

A remote sensing image and change detection technology, applied in the field of computer vision, can solve problems such as low detection accuracy and poor anti-noise performance, and achieve the effect of deepening the number of network layers, strong robustness, and high efficiency

Pending Publication Date: 2020-04-21
UNIV OF SCI & TECH BEIJING
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Problems solved by technology

[0010] The technical problem to be solved by the present invention is to provide a remote sensing image change detection method and system based on U-net improved algorithm to solve the problems of low detection accuracy and poor anti-noise performance in existing change detection methods. The semantic segmentation network is applied to the direction

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  • Remote sensing image change detection method and system based on U-net improved algorithm
  • Remote sensing image change detection method and system based on U-net improved algorithm
  • Remote sensing image change detection method and system based on U-net improved algorithm

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[0045] First embodiment

[0046] See Figure 1 to Figure 3 , This embodiment provides a remote sensing image change detection method based on U-net improved algorithm, such as figure 1 As shown, the remote sensing image change detection method includes:

[0047] S101, preprocessing the remote sensing image to be detected, and then integrating the preprocessed remote sensing images of different time phases to obtain an input image;

[0048] It should be noted that the process of preprocessing the remote sensing image to be detected in this embodiment includes:

[0049] Perform an enhancement operation on the remote sensing image to be detected, and use histogram matching to process remote sensing images in different time phases; the enhancement operation includes operations such as flipping and zooming in or out.

[0050] The process of integrating preprocessed remote sensing images of different time phases includes:

[0051] The two preprocessed remote sensing images of different time ph...

Example

[0072] Second embodiment

[0073] This embodiment provides a remote sensing image change detection system based on the U-net improved algorithm. The remote sensing image change detection system based on the U-net improved algorithm includes:

[0074] The image processing module is used to preprocess the remote sensing images to be detected, and then integrate the preprocessed remote sensing images of different time phases to obtain the input image;

[0075] Analysis and processing module, used for down-sampling encoding and up-sampling decoding of the input image based on the improved U-net network to complete the analysis and processing of the input image; among them, the encoder of the improved U-net network uses the Resnet-101 network Perform data feature extraction, and add a hollow space pyramid pooling design ASPP between the encoder and decoder to extract data multi-scale context information;

[0076] The result output module is used to output the binary image of whether the re...

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Abstract

The invention provides a remote sensing image change detection method and system based on a U-net improved algorithm, and the method comprises: carrying out the preprocessing of a remote sensing image, and then integrating the preprocessed remote sensing images of different time phases to obtain an input image; performing down-sampling encoding and up-sampling decoding on the input image based onan improved U-net network; and finally, outputting a binary image whether the image is changed or not according to an analysis result. According to the invention, a network structure in a semantic segmentation direction is applied to the field of change detection, and a residual learning mechanism is introduced, so that the encoder can quickly converge and deepen the number of network layers; andmeanwhile, ASPP is used for enhancing the perception capability of the network to image features, so that the algorithm can be kept at a relatively high level in precision and efficiency, and has relatively high robustness. The method and the system are suitable for the field of change detection of remote sensing images, can be popularized to other fields, and have important significance.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a remote sensing image change detection method and system based on an improved U-net algorithm. Background technique [0002] The change detection of remote sensing images refers to the quantitative analysis of remote sensing images of different time phases in the same area, so as to determine the shape and characteristics of the ground surface in the images, and detect the changed parts and unchanged parts of the area at different times. Remote sensing image change detection has a wide range of functions in the direction of land resource control, and is now widely used in the detection of illegal construction, natural disaster assessment, and urban construction planning. [0003] With the continuous development of satellite technology, remote sensing images at this stage present the characteristics of short cruising period and huge data volume. The method of using manual...

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T5/50G06T3/40G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06T5/50G06T3/4038G06N3/082G06T2207/10032G06T2207/20081G06T2207/20084G06T2207/20221G06N3/045
Inventor 阿孜古丽陈龙谢永红李鹏张德政栗辉
Owner UNIV OF SCI & TECH BEIJING
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