Conditional evidence theory-based scene identifiability analysis method

Abstract

The invention relates to a conditional evidence theory-based scene identifiability analysis method. The method comprises the following steps of: obtaining a target and a DSM and a DOM of a scene in which the target is located, and setting imaging parameters; selecting remarkable surface features as nodes of the scene; quantitatively assessing identifiability degrees of each surface feature under different observation angles, so as to carry out basic credibility distribution on each node in the scene; and defining a conditional credibility function for representing a mutual support degree between the nodes through a surface feature contour point number, and reasoning and fusing node information by utilizing an evidence theory so as to obtain an identifiability analysis result of the whole scene. According to the method, multiple remarkable surface features in the scene are sufficiently utilized, and a quantification form can be utilized to judge which visual angle can be used for achieving an optimum scene recognition effect, so that the problem of carrying out identifiability assessment on scenes is solved and significance is brought to task planning.

Description

technical field [0001] The invention belongs to the technical field of remote sensing applications, and in particular relates to a scene recognizability analysis method based on conditional evidence theory. Background technique [0002] The method based on template matching is widely used in optical image automatic target recognition, in which the template is the key to target matching and recognition. A common practice is to prepare the template required to complete the target and the task at one time according to the flight track, sensor parameters and the geographical location of the target during mission planning, and store it in the database for real-time calling. Therefore, the accuracy and validity of the template is of paramount importance. Evaluating the degree of recognizability of the target or scene at different angles is used to determine the flight path and the viewing angle of the sensor during mission planning, select an angle with a higher degree of recogni...

AI Technical Summary

Problems solved by technology

Existing methods generally only analyze the target or scene at a given angle, and do not analyze the difference in the degree of recognizability of the target or scene under different viewing angles.

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