REMOTE SENSING IMAGE OVERALL PLANNING RECOMMENDATION METHOD BASED ON CONTENT UNDERSTANDING

Disclosed in the present invention is a remote sensing image overall planning recommendation method based on content understanding. The method comprises the following steps: S1, acquiring a query condition and a first image set; S2, acquiring depth features of the first image set; S3, acquiring local features of the first image set; S4, acquiring fusion features of the first image set; S5, acquiring fusion feature similarities among images in the first image set; S6, selecting an initial image from the first image set, and determining optimal indexes, the optimal indexes comprising a feature similarity and an effective coverage rate; S7, using the initial image as a root node, performing split expansion for multiple times from the root node according to the optimal indexes to obtain a complete split search tree, and obtaining a second image set on the basis of the split search tree; and S8, recommending the second image set to a user. According to the method, the fusion feature similarities of image sets and