The invention discloses a false star filtering and star map recognition method based on multi-
sky-area parallelism, which is applied to autonomous
attitude determination of a
star sensor and comprises the following steps: constructing a multi-
sky-area parallelism index
database of a whole
celestial sphere, dividing a whole
celestial sphere space represented by a unit spherical surface, and generating a plurality of candidate
sky-area sets which cover the whole
celestial sphere and are allowed to be overlapped with one another; the method for extracting
star pattern features based on the discretized radial
angular distance comprises the following steps: extracting position parameter information of observation star points based on star map data acquired by a
star sensor, and constructing a radial
feature vector for representing a local
spatial distribution relationship of
fixed stars for each observation star point in a star map; performing
feature matching of the multi-day-area parallel star mode feature vectors, and calculating a matching evaluation index based on the
feature matching; and a final star map recognition result is obtained based on iterative screening recognition and false star
elimination. And outputting a final star map recognition result for subsequent attitude calculation. The invention further discloses a corresponding
system,
electronic equipment and a computer readable storage medium.