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Optical remote sensing image change detection method, storage medium and computing device

An optical remote sensing image and change detection technology, which is applied in the field of optical remote sensing image change detection, can solve the problem that the model is easily affected by noise, and achieve the effect of fast convergence and good predictive ability

Active Publication Date: 2020-09-29
XIDIAN UNIV
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Problems solved by technology

However, supervised learning requires a large number of labeled samples for model training. It is difficult to achieve excellent performance in the case of poor label quality and insufficient quantity. In addition, the model is also susceptible to noise.

Method used

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  • Optical remote sensing image change detection method, storage medium and computing device
  • Optical remote sensing image change detection method, storage medium and computing device
  • Optical remote sensing image change detection method, storage medium and computing device

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Embodiment Construction

[0052] The present invention provides an optical remote sensing image change detection method based on the TernausNet twin neural network. Combining with the idea of ​​TernausNet, the convolution layer in the encoder uses the pre-trained convolution layer of vgg11, which greatly improves the prediction accuracy. Considering the differences in spectral features and target structures between the data set used by the pre-trained vgg11 model and the change detection data set, the present invention adds a branch network at the end of the encoder, and the branch network consists of a randomly initialized convolutional layer, batch normalization The normalization layer and activation function are composed, which can effectively assist the training of the network, so that the difference image obtained from the sub-network of the encoder is closer to the real change of the input image and converges quickly. Compared with the manually designed feature extraction scheme of the traditional...

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Abstract

The invention discloses an optical remote sensing image change detection method, a storage medium and computing equipment, and the method comprises the steps: enabling an optical remote sensing imagedata set to generate a training set and a test set, and expanding the data set; constructing two encoder networks with the same network structure and shared parameters as a twin neural network for extracting multistage features; calculating multi-scale difference characteristics and establishing a decoder network; building a sub-network; training a network by using the expanded data; inputting thetest image into a network, obtaining a network output prediction result at one end of a decoder, detecting according to the prediction result, setting thresholds for all elements of the prediction result, comparing each element in the prediction result with the threshold, if the element value is greater than the threshold, classifying the elements into a change class, and if the element value isless than the threshold, classifying the elements into a non-change class. According to the method, data set features are learned under the condition of few samples, and the method has good predictioncapability for changed and unchanged areas in optical remote sensing images of different time phases in the same area.

Description

technical field [0001] The invention belongs to the technical field of image processing, and specifically relates to a method for detecting changes in optical remote sensing images based on the TernausNet twin neural network, a storage medium and a computing device, which can detect changes in optical remote sensing images with multiple temporal phases and multiple resolutions, and are used in urban planning and natural areas such as disaster assessment are of great interest. Background technique [0002] Detecting changes in the Earth's surface is becoming increasingly important for monitoring the environment and resources. With the development of remote sensing technology, surface information can be observed through remote sensing images. Therefore, changes in the Earth's surface can be identified by using image change detection techniques. Change detection is defined as the process of identifying changes in an object or phenomenon by observing it at different times. It...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06K9/46G06N3/04G06N3/08
CPCG06N3/08G06V20/13G06V10/267G06V10/40G06N3/048G06N3/045
Inventor 陈璞花孙杰焦李成刘芳张向荣单鼎丞古晶刘红英
Owner XIDIAN UNIV
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