Remote sensing image recommendation method based on multi-attribute fusion

Abstract

The invention discloses a remote sensing image recommendation method based on multi-attribute fusion, and belongs to the technical field of intelligent recommendation and distribution of remote sensing images. The method comprises the following steps: firstly, carrying out multi-dimensional knowledge graph modeling on responsibility information and ordering information of a remote sensing user andattribute information of a remote sensing image, and respectively carrying out embedded representation on the knowledge graph to obtain a user responsibility embedding vector, a user ordering embedding vector, an image order embedding vector and an image attribute embedding vector; performing semantic information extraction such as target detection and surface feature classification on the remotesensing image to obtain an image surface feature proportion vector to solve a problem of an information representation method of a user and an image in a recommendation process in the remote sensingfield effectively; and then, with a collaborative filtering recommendation network based on multi-attribute fusion, realizing fusion of multi-dimensional input by means of high-dimensional space modeling capability of a neural network, and embedding various input vectors in different spaces into a unified vector space to realize a better pairing recommendation effect.

Description

technical field [0001] The invention belongs to the technical field of intelligent recommendation and distribution of remote sensing images, in particular to a remote sensing image recommendation method based on multi-attribute fusion. Background technique [0002] At present, all countries have built a relatively complete remote sensing earth observation system, such as the Landsat and MODIS series satellites of the United States, the WorldView series satellites, the SPOT series satellites of France, the ALOS series satellites of Japan, and the high score series, environment series, and resources of China. series of satellites. With various satellites launched and put into use, the amount of remote sensing data has exploded in recent years. At the same time, with the development of remote sensing application technology, remote sensing images have good application prospects in various fields of land and resources, and the corresponding remote sensing users have also increas...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of how to accurately and proactively push remote sensing images of interest to them according to the individual needs of users with the explosive growth of remote sensing users and remote sensing image data, and at the same time alleviate the problems caused by the addition of remote sensing users and remote sensing images cold start problem

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