CAJ | 학술논문

天文遥感图像中小运动目标的检测是空中监测任务的一个重要问题。压缩感知理论的出现为在线天文遥感图像处理提供了一种简单高效的编码方法。提出一种基于压缩感知理论的天文遥感图像小运动目标的检测方法。这种算法通过比较当前图像测量值和背景图像测量值之间的不同来确定目标的测量值。与其他方法对整个场景成像不同，这种方法只对最显著的位置成像，有效地节约了计算资源。同时这种方法能够得到精确的定位结果。仿真结果表明，所提出的方法能够准确地检测小运动目标，同时实现精确定位。
천문요감도상중소운동목표적검측시공중감측임무적일개중요문제。압축감지이론적출현위재선천문요감도상처리제공료일충간단고효적편마방법。제출일충기우압축감지이론적천문요감도상소운동목표적검측방법。저충산법통과비교당전도상측량치화배경도상측량치지간적불동래학정목표적측량치。여기타방법대정개장경성상불동，저충방법지대최현저적위치성상，유효지절약료계산자원。동시저충방법능구득도정학적정위결과。방진결과표명，소제출적방법능구준학지검측소운동목표，동시실현정학정위。
To detect small moving objects in astronomical remote sensing images is an important issue in space surveillance.The emergence of compressive sensing theory provides a simple and efficient coding approach for onboard astronomical remote sensing image processing.We propose a detection algorithm for small moving objects in astronomical remote sensing image which is based on compressive sensing theory.The algorithm determines the measurements of the objects by comparing the difference between the measurements of current image and the measurements of background scene.In contrast to other methods in imaging the whole scene,this algorithm only imaging the foreground position,which leads to effective computational performance.At the same time it can achieve accurate positioning results. Simulation experimental results show that the proposed algorithm can accurately detect small moving objects and realise precise localisation as well.