. , . . . . . , . 1 (200) 3 , 2(2D) (100) (210) (100) (220) (100) (230), (220) (230) (240), (220) (photographs) (250) (260) , (250) (100) , (270) , (IR) 2D .FIG.
(220) Pixel Raw Data , , . (Function) , 2 (Tagging) (EXIF) (EXIF Class) , Tagging EXIF( ) (Function), Latitude / Longitude / Altitude Pixel (Converting) LLH to PIXEL (Fuction) (Heading) Rotate Rotate (Function) .Algorithm for Calculating the Earth-Centered Coordinate System The software program architecture is composed of a number of capabilities. , . , , . , , . , , , , , 2 , , (Map matching) 2(2D) , , 2 .Summary OF THE INVENTION Accordingly, the current invention has been made maintaining in thoughts the above problems occurring within the prior artwork, and an object of the present invention is to supply a technique and apparatus for buying fast two-dimensional correct position information from sea, large river, tough agricultural data, Real-time two-dimensional (2D) orthogonal placement position verification with picture knowledge matching algorithm (image matching) required for place, perspective, angle bodily optimization and actual-time knowledge positioning UAVs that can be deployed in two dimensions by correcting errors in location, angle placement of sensor data, and acquiring UAVs with a decision algorithm of land aerial identification image data to right errors in positioning and navigation sensor information throughout high pace UAV And a precise place acquisition methodology using the same It has its function.
2 (Overlay Mapping Process) (GIS) (massive data) , 1m 2 (Overlay Mapping Process) .In recent times, there was a rise within the market for development of large data (GIS) by the 2-dimensional orthogonal mapping processing by the actual-time operation of UAV, and the overlapping actual- , The terrain change monitoring and image object analysis are increasingly utilized. As shown in Fig. 2, the place data (EXIF) tagged in the picture is calculated in the position data layer (EXIF Class) The operate to calculate and course of the tagged EXIF (position data information), the LLH to PIXEL operate (Fuction) which can convert collected Latitude / Longitude / Altitude info into Pixel models, And a Rotate perform (Function) for rotating the image primarily based on the true north course utilizing heading data that’s converted to an image. This software for 2D orthogonal placement is particularly helpful in thermal picture sensor (IR) information that’s difficult to picture match aside from picture picture orthogonal placement.
Logging , EXIF( ) jpg Binary data 2 .The error correction is utilized in order that the image required for the rectangle placement algorithm is generated by correcting the position information and the logging info collected from the UAV, and the binary information is included in the jpg format by together with EXIF (image place information) . (GPS) (IMU) , (Image) (Hyper Spectra Sensor), , , , . . : . . .