Remote sensing image water body extraction method and interaction method for remote sensing image water body extraction

Abstract

The embodiment of the invention provides a remote sensing image water body extraction method and an interaction method for remote sensing image water body extraction, and the method comprises the steps: obtaining a plurality of first remote sensing image samples, and generating first water body images corresponding to the first remote sensing image samples according to the spectral information of the first remote sensing image samples; training a preset neural network model at least according to the first remote sensing image sample and the corresponding first water body image to determine a loss function of the neural network model; wherein the loss function is determined according to global loss and local loss, and the local loss function is composed of pixel-level cross entropy loss and contrast loss of pixel blocks; identifying the target remote sensing image through a neural network model to generate a target water body image corresponding to the remote sensing image; according to the embodiment of the invention, the technical problem that accurate and efficient water body recognition and segmentation cannot be carried out on a large-area remote sensing image in the prior art can be solved.

Description

technical field [0001] The present application relates to the field of remote sensing, in particular to a method for extracting water bodies from remote sensing images and an interactive method for extracting water bodies from remote sensing images. Background technique [0002] Using remote sensing images to detect water bodies (rivers, lakes, wetlands, etc.) in large-scale cities and natural areas in a timely and accurate manner can provide effective information for the coordination and balance of urban planning and construction, natural environment, and agricultural policies. support. At present, in the field of remote sensing, deep learning algorithms are often used to realize the recognition and segmentation of water body parts. However, in the above-mentioned process of identifying and segmenting water body parts based on deep learning algorithms, most of the remote sensing image samples used for training need to be manually marked. In order to carry out strong superv...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present application provides a method for extracting water bodies from remote sensing images, and an interactive method for extracting water bodies from remote sensing images, so as to at least solve the technical problem in related technologies that cannot accurately and efficiently identify and segment water bodies for large-area remote sensing images

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