Urban functional area identification method and device based on remote sensing interpretation, equipment and medium

Abstract

The invention discloses an urban functional area identification method, device and equipment based on remote sensing interpretation and a medium, and the method comprises the steps: constructing a remote sensing sample library based on land survey data and remote sensing image data of a target area; wherein the territorial survey data comprises vector data for marking urban functional areas of the target area; based on the deep learning model, training the deep learning model by using the remote sensing sample library to obtain an identification model; based on a map service protocol pre-constructed with the user terminal, identifying an area selection operation of a user in the target area through the user terminal, and obtaining a to-be-identified area according to the area selection operation; and identifying the urban functional area of the to-be-identified area through the identification model to obtain an identification result, and feeding back the identification result to the user terminal. According to the method, when the remote sensing sample library is constructed, the time consumption is short, and the marking accuracy is relatively high, so that the accuracy of identifying the urban functional area is improved.

Description

technical field [0001] The present invention relates to the technical field of geographic information identification, in particular to a method, device, terminal device and computer-readable storage medium for identifying urban functional areas based on remote sensing interpretation. Background technique [0002] With the development of remote sensing technology, the application of remote sensing image interpretation has become more and more extensive, for example, the use of remote sensing image interpretation technology to identify urban functional areas. [0003] In order to further improve the efficiency and accuracy of remote sensing image interpretation, so as to realize faster and more accurate identification of urban functional areas, the existing technology usually adopts the method of combining remote sensing image interpretation technology and deep learning. The image sample library is constructed, and then the deep learning network is trained by using the constru...

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a method, device, equipment and medium for identifying urban functional areas based on remote sensing interpretation, in order to solve the problem of low identification accuracy of urban functional areas in the prior art, and use land survey data to assist the construction of remote sensing sample databases. Since the national land survey data includes vector data for labeling the urban functional areas of the target area, there is no need for a large amount of manual labeling work, the time is short, and the labeling accuracy is high, ensuring that the deep learning model obtained through training has a high recognition accuracy, thereby improving the accuracy of the recognition of urban functional areas

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