Research On Spatial Localization Of Autonomous High-resolution Satellite Image In Difficult Control Areas

Geographic information play an increasingly important role in economic andsocial development,national diplomacy and national defense. People pay more andmore attention to it. Now, the applications of high-resolution remote sensing imageshas been the foundation of the collection and approve on the information ofgeographic elements and some attribute information. Although some externalhigh-resolution satellites like Worldview and Geoeye have high resolution and highspace locating accuracy. Geographic data to some extent is national restricted data. Itrefers to national security. On the other hand, we have much more autonomy ingetting remote sensing images by our own high-resolution satellite on foreign politicalsensitive area. Therefore, it is necessary to figure out the method of images’ spacelocalization by high-resolution satellite. ZY3is China’s first civil high-definitionsurvey satellite. This article is to explore the ZY3Positioning Methods on nationallarge-scale surveying and mapping engineering.There is a large gap between the positioning accuracy of ZY3and foreignsatellite’s. Just because our satellite attitude accuracy and orbit determination isrelatively backward. The positioning error of ZY3’s satellite image can be subductionby using the error compensation model in some area that the control points areabundant. But at the place with less control points, the positioning accuracy of ZY3’ssatellite image cannot meet the production demands. Therefore, it is necessary toexplore the high precision location technology in the place photo-control difficultbased on domestic high-resolution satellite.Firstly, the article reviewed the research status of high-resolution satelliteimage’s space location technology, discussed the perspective projection relationshipof some common kinds of rigorous sensor model and listed the constitutive equation,analyzed traditional sensor’s disadvantages based on collinearity equation, selectednew rational function model to conquer the problem about orientation parameterstrongly correlated。 Secondly, the article uses block adjustment to slove the problem about lacking control points. In the absence of control points and weakconvergence,the image high fix has been done by using ZY3and Worldview2’ssatellite images. The following is the specific research contents and achievement.1. First, point at some place where the stereoscopic images are difficult to get,research the adjustment method of stereo images reginal network.Second, it has beenproved that ZY3’s floating control precision is about40m. A control point can reach10m. Four control points can reach5m. Then, the control points can be reduced in thecondition of guaranteeing the position accuracy by using regional network adjustmentmethod of single model’s stereo images. And it could reduce most of the systemerrors and improve positional accuracy.Then, point at the un-control non-stereo ZY3’simage navigation, the ZY3’s image positional accuracy is been improved by a largemargin by using mix regional network adjustment method to set up weight betweendifferent images.2. To contrast and analyze the feasibility that use non-stereo image to processthe production of actual ortho-photomap, and to improve the ZY3’s stereoscopicimage positional accuracy in the condition of scarce control,the article usethree-line-scanner stereoscopic image’s reginal network adjustment method andmulti-source hybrid reginal network adjustment method. The experimental resultsshow that stereoscopic image’s reginal network adjustment method could removesystem errors and reduce control points. Multi-source hybrid reginal networkadjustment method could utilize comprehensively different satellites’ advantagesabout obtain ability and positional accuracy and image price. It could make ends meetthe positional accuracy and economic cost. Although non-stereo image’s positionalaccuracy is influenced by DEM accuracy obviously, positional accuracy is tend topoorly than stereoscopic image’s, reginal network adjustment method could solve theproblem to some extent. Therefore, it is viable to use non-stereo image to set up theproduction of orthophotomap in some special area.The study is research that non-stereo or stereoscopic image multi-source hybridreginal network adjustment method could improve ZY3’s image positional accuracy.It has reference value to product orthophotomap in some area lacking control pointsand difficult to get stereoscopic image.