River and lake shoreline change detection method based on identity residual type unet and remote sensing water index

Abstract

In order to solve the problem that the detection of river and lake shoreline changes is difficult and the accuracy is not high in the field of remote sensing technology, the present invention discloses a method for detecting river and lake shoreline changes based on the identity residual type Unet and remote sensing water body index. The spatial characteristics and spectral characteristics of buildings and water bodies in remote sensing images, and the strong target recognition ability of deep neural network is used to design the network structure of deep neural network identity residual type Unet suitable for the extraction of buildings on river and lake shorelines , and combined the Unet with the identity residual type and the remote sensing water body index NDWI to detect the changes of the river and lake shorelines caused by development and utilization and water level changes. This method has high detection accuracy and good effect.

Description

technical field [0001] The invention belongs to the intersection field of remote sensing technology and computer vision technology, and relates to a river and lake shoreline change detection method based on an identical residual type Unet and a remote sensing water body index. Background technique [0002] As an important part of the natural ecological space of rivers and lakes, the shoreline of rivers and lakes plays an important role in the construction of ecological civilization and economic development in the surrounding areas of the shoreline. With the continuous development of remote sensing technology, the spatial resolution of remote sensing images has been continuously improved, making it possible to use remote sensing images to detect changes in river and lake shorelines, and will become an important technical means for detecting changes in river and lake shorelines. However, due to the complexity of remote sensing images At present, it is difficult to detect chang...

AI Technical Summary

Problems solved by technology

With the continuous development of remote sensing technology, the spatial resolution of remote sensing images has been continuously improved, making it possible to use remote sensing images to detect changes in river and lake shorelines, and will become an important technical means for detecting changes in river and lake shorelines. However, due to the complexity of remote sensing images At present, it is difficult to detect changes in the shoreline of rivers and lakes, and the accuracy needs to be improved

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