Formosat-2 imaging simulation and geometric error analysis

Shen, H.-Y., Wu, A.-M. and Radice, G. (2011) Formosat-2 imaging simulation and geometric error analysis. In: 32nd Asian Conference on Remote Sensing, Taipei, Taiwan, 3-7 Oct 2011,

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FORMOSAT-2 satellite has the capability of daily revisit and global coverage, and provides images with a panchromatic band resolution of 2 m and multispectral band resolution of 8 m. Since its launch in 2004, the satellite has taken first-time images and provided continuous monitoring for many large events around the world. To provide a quick response to support disaster relief operations, the FORMOSAT-2 team began, in 2010, to deliver image products in KML format for GoogleEarth overlay. Since the geometric data of the FORMOSAT-2 image is calculated from the orbit, the attitude and the camera model, misregistration often occurs when overlaid, thus requiring a further geometric correction. In this study, we take the images over the duration of one day and collate them into one strip. Further this is repeated so that we have 14 image strips for 14 orbits around the world. When one image is overlaid in GoogleEarth, we read two sets of coordinates of four landmarks, and find the least-squares affine transformation from FORMOSAT-2 image to the GoogleEarth image. We calculate the coordinates of the four vertices in GoogleEarth as references, and denote the average of the errors of the four vertices as the processing error. From the distribution of the errors of the 14 images, we can then estimate the systematic error and random error. Furthermore, we simulate the FORMOSAT-2 imaging geometry using Satellite Tool Kit Software (STK) with high precision orbit propagator (HPOP), and obtain the simulation errors when compared with the GoogleEarth. The vector correlation coefficients are calculated for the processing and simulation errors. The sufficient accuracy of STK simulation in the orbit, the attitude, and the projection shows that the method can further be used to calibrate the camera model.

Item Type:Conference Proceedings
Glasgow Author(s) Enlighten ID:Radice, Dr Gianmarco
Authors: Shen, H.-Y., Wu, A.-M., and Radice, G.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity

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