Remote sensing image ground object semantic segmentation method

Abstract

The invention discloses a remote sensing image ground object semantic segmentation method, and aims to improve remote sensing image ground object segmentation accuracy and solve the problem that edgerecognition is not fine enough. According to the technical scheme, the method comprises the steps that a pyramid scene analysis network is constructed, a network model with high image feature mining capacity is migrated to a semantic segmentation network model from the related field, and information contained in a remote sensing image is mined from the channel dimension; spectral information contained in the remote sensing image is mined in combination with a channel attention mechanism, and a data correlation type up-sampling module carries out up-sampling on feature maps of different spatialscales to the size of an original feature map and splices the feature maps with the original feature map; the risks of gradient disappearance and gradient explosion are effectively reduced by adopting a loss function tower, and the prediction effect of the image edge is further improved by adopting an IoU-based loss function; and a network model is trained by using the labeled training data, testset data is inputted into the optimized semantic segmentation network model, and different ground objects in the image are identified.

Description

technical field [0001] The invention belongs to the technical field of semantic segmentation of remote sensing images, in particular to a method for semantic segmentation of ground objects in remote sensing images based on a deep neural network. Background technique [0002] The development of remote sensing technology promotes the explosive growth of remote sensing image data, and presents a trend of higher resolution and wider width. The so-called remote sensing is to perceive the target object from a long distance, that is, to detect the physical properties of the target object from a long distance. "Yao" has the concept of space, and obtains the space information of the target object from near-earth space, outer space and even cosmic space. "Sense" refers to information systems, including information acquisition and transmission, information processing, information analysis and visualization systems, etc. Remote sensing is the technology of detecting and sensing object...

AI Technical Summary

Problems solved by technology

[0007] Aiming at high-resolution remote sensing images of complex scenes, the present invention aims to improve the accuracy of ground object segmentation in remote sensing images and solve the problem of insufficient edge recognition, and proposes a method for semantic segmentation of remote sensing image ground objects based on deep neural networks

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