Lightweight Design And Application Of In-orbit Image Control Points

At present,users' demand for time-efficient surveying and mapping products is increasing,while the existing ground processing system cannot meet users' demand for real-time information acquisition and real-time processing.At the same time,although the amount of remote sensing satellite image data has shown an explosive growth,the actual image data has not been fully mined and analyzed,thus forming a dilemma of "big data and little knowledge".Therefore,in order to solve the problem of real-time information acquisition and processing and break through the current data information dilemma,it is urgent to transfer part of surveying and mapping processing tasks to the satellite and directly transfer valuable information to the user,so as to realize the efficient and high-quality processing of surveying and mapping information.However,due to the limited resources on the satellite,the existing algorithms cannot be directly applied to on-board processing,and special algorithms for on-board processing tasks need to be designed and studied.Among them,the processing and application of image control points is an important link in the traditional ground surveying and mapping production task,which is also an essential step for the onboard surveying and mapping processing task.It is of great theoretical significance and practical value to study the storage,processing and application of on-board image control points.To this end,this paper studies the lightweight design and application of on-board image control points,mainly from three aspects of control point lightweight processing,on-board adaptive matching algorithm and on-board mapping information application mode.The main work and innovation points completed in this paper are as follows:1.The advantages and disadvantages of the existing techniques are analyzed.The importance of image control point database for on-board processing is demonstrated.A feasible storage method for on-board control points is proposed.2.Two lightweight processing methods are designed,one is image lightweight method based on compression coding,the other is descriptor lightweight method based on hash mapping learning.Through theoretical analysis and experimental verification,the compression performance of the image lightening method based on compression coding and the descriptor lightening method based on hash mapping learning are further illustrated,and a new idea is provided for the construction and application of the lightweight image control point database in orbit.3.An on-star adaptive matching algorithm based on hash map is proposed to improve the robustness of on-star automatic matching and avoid the occurrence of no matching points.A series of feature matching algorithms are compared with other satellite images.The experimental results show that the adaptive matching algorithm proposed in this paper can achieve the task of matching the light weight control points on board stably and efficiently.4.A variety of application modes of onboard surveying and mapping information are designed.The application technologies of onboard control point data processing such as light weight control point data processing,DEM data processing,on-board geometry correction and ortho correction processing are analyzed,and the application modes of onboard surveying and mapping information are designed from three aspects such as rapid guarantee,overseas target monitoring and disaster early warning.