Study On Matching Probability Of Radar Scene And Relative Problems | Posted on:2008-09-20 | Degree:Doctor | Type:Dissertation | Country:China | Candidate:B C Jiang | Full Text:PDF | GTID:1100360218961430 | Subject:Photogrammetry and Remote Sensing | Abstract/Summary: | PDF Full Text Request | Wright took photograph from the plane for the first time in Centocelli of Italy in 1903. Thatindicates that the human achieve new method remote sensing to acquire information. From thenon the technology of remote sensing have been paid more and more attention. Along with newsensor developed and applied, the technology of information transferring and process improvedand a series of experiments United States launched ERTS-1 for detecting the resources andenvironment of earth in 1970'. That created a new phase for the development and extensiveapplication of spaceflight remote sensing. At present the technology of remote sensing is veryimportant in different parts of economy. People can utilize the technology of remote sensing tonavigate, update map, estimate the output of crop and the mounts of storage and change of grassand forest, mark the resource zones of gold and petrol and coal, supervise the natural andman-made disaster, estimate the loss and bring forward the countermeasure, supervise theappropriate exploration of resources and Etc.As the micro wave sensors, Real Aperture Radar and Synthetic Aperture Radar have veryimportant use in the aerocraft navigation, terminal control and guide of arm shoot system and etc.In those kinds of application Radar sensor has been installed in the aerocraft and arm shootsystem. So the real time image can been acquired in order to match the scene. The INS/SceneMatching combination navigation system based on INS and Scene Matching has advantage ofindependence, good precise, free from electromagnetic interference and independence of GPS.Those advantage make the INS/Scene Matching have special importance in the area of aerocraftnavigation, terminal control and guide of arm shoot system in our country. In the process ofnavigation of INS/Scene Matching the aerocraft will save the land information of undersurface offly orbit in the memorizer which has been scouted in advance. While the aerocraft fly thescheduled position the sensor schlep will take the real time image like as RAR image. After thenthe real time image will match the reference image which has been stored beforehand and hasgeographic relation with real time image. Thus the position or horizontal and longitudinal distanceerror of the aerocraft can been fixed on. After that the navigation and control and guidance iscomplete. In the process of scene matching in navigation the big discrepancy brought by someexternal condition between reference image and real time image will often occur and result infailure of scene matching and navigation. That the instability of scene matching which cause thefailure of navigation has become a bottleneck problem to develop independently the importantINS/Scene Matching combination navigation system. This paper is to research on the matchingprobability of Radar Scene and relative problems in order to avoid the failure of scene matching,guide the process of scene matching as well as improving the precise and stability of INS/SceneMatching navigation system.This paper is supported by a program "research on the evaluation of performance of radarscene matching" consigned by the second academe of spaceflight Ltd. In the paper it researchesroundly and systematically on the probability of radar scene matching and relative problems. First,to ensure the successful match it analyzes the algorithms using in the radar scene matching, characteristic of reference image of scene matching, the selection of matching area of referencemap. To improve the probability of scene matching it also analyzed the algorithms of imagesegmentation. It provides a algorithm which segment airport from radar image using geneticalgorithm based on knowledge. It analyzes the relation between real time image and probability ofradar scene matching by four image parameters of real time map which are gray scale contrast,SNR, space scale, different resolution caused by different image direction. It builds up themathematic model to calculate the probability of radar scene matching by means of academicdeducing in the paper. | Keywords/Search Tags: | Real Aperture Radar, Synthetic Aperture Radar, Scene Matching, Reference Image, Real Time Image, SNR, Image Segmentation, Probability of Radar Scene Matching, Genetic Algorithm | PDF Full Text Request | Related items |
| |
|