Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 369-372, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-1-W1/369/2013/
doi:10.5194/isprsarchives-XL-1-W1-369-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
02 May 2013
GEOMETRIC CORRECTION OF AIRBORNE LINEAR ARRAY IMAGE BASED ON BIAS MATRIX
M. Wang, J. Hu, M. Zhou, J. M. Li, and Z. Zhang Key Laboratory of Quantitative Remote Sensing Information Technology, Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing, China
Keywords: Linear Array Image, Geometric Correction, Bias Matrix, Airborne, Misalignment Abstract. As the linear array sensor has great potential in disaster monitoring, geological survey, the quality of the image geometric correction should be guaranteed. The primary focus of this paper is to present a new method correcting airbone linear image based on the bias matrix,which is bulit by describing and analysing the errors of airbone linear image included the misalignment. The bias matrix was considered as additional observations to the traditional geometric correction model in our method. And by using control points which have both image coordinate and object coordinate, the solving equation from geometric correction model can be established and the bias matrix can be calculated by adjustment strategy. To avoid the singularity problem in the calculating process, this paper uses quaternion to describe the image's attitude and rotation instead of traditional calculating method which is structured by the Euler angle. Finally, geometric correction of airborne linear array image with high accuracy based on bias matrix can be achieved.
Conference paper (PDF, 521 KB)


Citation: Wang, M., Hu, J., Zhou, M., Li, J. M., and Zhang, Z.: GEOMETRIC CORRECTION OF AIRBORNE LINEAR ARRAY IMAGE BASED ON BIAS MATRIX, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-1/W1, 369-372, doi:10.5194/isprsarchives-XL-1-W1-369-2013, 2013.

BibTeX EndNote Reference Manager XML