Research On Area Target Coverage Model And Algorithm Of Imaging Satellite

It is considered to be a very important observation method,which has the characteristics of fast response,large observed area,no limitation of national boundaries,regular or continuous observation.However,satellite resources are costly and scarce resources,maximizing their efficiency is a significant practical problem.Imaging satellites are widely used as a class of satellites in aerospace resources,which are widely used in military reconnaissance,meteorological disasters,remote sensing and other fields.At present,observing ground targets with imaging satellite has become an important technical means for decision-making departments to obtain intelligence information.With the increase of the number of satellites and the enhancement of observing ability,using multiple satellites to observe the regional targets,so as to achieve higher timeliness and integrity,is inevitable requirement to exert its coverage efficiency.When the target is a relatively large area target,the satellite can observe the different parts of the target by selecting different yaw angle.This leads to an optimization problem,that is,how to select each yaw angle to achieve zero omission when observing the area target,and the whole observation process takes the shortest time and the image quality is higher.Multi-satellite imaging detection towards large area requires to complete the full coverage of a given area target in the shortest possible time to obtain the best side observation scheme of satellite.Existing coverage algorithms have time-consuming and inefficient technology bottleneck,spatial coverage rate and time limitations.,this article take advantage of each transit opportunities for observations of satellite,considering the camera resolution,solar elevation angle,ground precision constraints,according to different satellites side swing capability,sensor visual performance and satellite orbit parameters characteristics to quantify the coverage analysis ofthe target area.Mesh model is es-tablished,proposes a coverage optimization algorithm based on one coverage strategy,which can adapt to multiple constraint conditions,under practical problems of scale,with good efficiency,and met the accuracy requirements.Finally,the validity and adaptability of the algorithm are verified in the simulation application.