2results about How to "Reduce false matches" patented technology

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.

The application discloses a video image data intelligent gathering and full life cycle management method, relates to the technical field of video monitoring and intelligent security and protection, and discloses the following technical scheme: low light and shielding state are explicitized through working condition information, a degeneration area mask and a reliability weight graph are generated, video degeneration is converted from uncontrollable input into available control quantity, subsequent processing can adopt differentiated treatment on the degeneration area and the non-degeneration area, the interference of the degeneration area on detection output is reduced, and effective detail information of the non-degeneration area is reserved; the reliability weight is introduced into a detection model inference link, intermediate features are gate weighted, confidence penalty is applied to candidate frames falling into the degeneration area, a result reliability mark and an alarm linkage rule are generated, low reliability results are stored in a database, real-time alarm is inhibited or delayed triggering, alarm noise is reduced, and review resources are focused on high reliability events.