CAJ | 학술논문

为了实现高精度和高准确性的星图识别和姿态确定，本文对星点提取算法进行了研究，将剪切波变换应用到星点提取技术中。首先，通过利用剪切波变换对星图进行分解，得到不同尺度、不同方向的系数；然后，对剪切系数进行阈值处理并重构得到去噪后的星图，再对重构星图进行顶帽变换和自适应阈值处理，完成星图滤波；最后，通过质心误差补偿法提取星点的坐标，有效地完成星点提取。实验结果表明，采用剪切波变换的星图滤波对噪声去除非常有效；质心误差补偿法的误差在0．003左右，明显优于传统的质心法，基本满足星敏感器的精度高和抗干扰能力强等要求。
위료실현고정도화고준학성적성도식별화자태학정，본문대성점제취산법진행료연구，장전절파변환응용도성점제취기술중。수선，통과이용전절파변환대성도진행분해，득도불동척도、불동방향적계수；연후，대전절계수진행역치처리병중구득도거조후적성도，재대중구성도진행정모변환화자괄응역치처리，완성성도려파；최후，통과질심오차보상법제취성점적좌표，유효지완성성점제취。실험결과표명，채용전절파변환적성도려파대조성거제비상유효；질심오차보상법적오차재0．003좌우，명현우우전통적질심법，기본만족성민감기적정도고화항간우능력강등요구。
In order to realize high precision and high accuracy of star pattern recognition and attitude determi-nation, the star extraction algorithm is studied and the Shearlet transform is applied to the star extraction tech-nology.First, Shearlet transform is used for the decomposition of star image to get coefficients of different scales, different directions.Then threshold processing is used to shear coefficients and reconstruct them to get the de-noising image.Then Top-hat transform and adaptive threshold processing are used for the reconstruction image to complete the star image filtering.Finally the centroid error compensation method is used for extraction of star coordinates, which effectively completes the star extraction.The experimental results show that the noise removal is very effective with star image filtering based on shearlet transform.The error by the centroid error compensation method is about 0.003 and the method is obviously superior to the traditional centroid method.It can satisfy the star sensor requirements of high precision and strong anti-jamming.