Method and system for extracting target object from image

Abstract

The invention relates to a method and system for extracting a target object from an image, and the method comprises the following steps: S1, receiving an input image and a target object extraction request which is used for indicating a target object needing to be extracted; s2, calling a semantic segmentation deep learning model, and extracting feature information of a target object in the image; and S3, outputting an image of the target object based on the extracted feature information of the target object. According to the invention, accurate end-to-end building extraction and segmentation can be realized, and the extraction precision and the extraction effect of the target object are improved.

Description

technical field

[0001] The invention belongs to the technical field of remote sensing image processing, in particular to a method and system for extracting a target object from an image. Background technique

[0002] The rapid and efficient extraction of architectural objects using high-resolution remote sensing images is the basis for applications such as land resource management, fine-grained mapping, land use change monitoring, and human settlement suitability assessment. However, high-resolution images also bring problems such as large amount of calculation, complex calculation process, and partial information redundancy. In addition, there are problems such as multi-scale space, structural complexity, large differences in distribution, and complex surroundings of buildings. , causing certain difficulties and challenges to the efficient extraction of building information in high-resolution images.

[0003] Currently, building extraction algorithms can be divided into me...

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