Volume XLII-2/W7
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 587-592, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-587-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W7, 587-592, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W7-587-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.

  12 Sep 2017

12 Sep 2017

ROI-ORIENTATED SENSOR CORRECTION BASED ON VIRTUAL STEADY REIMAGING MODEL FOR WIDE SWATH HIGH RESOLUTION OPTICAL SATELLITE IMAGERY

Y. Zhu1,2, S. Jin1, Y. Tian1, and M. Wang1 Y. Zhu et al.
  • 1LIESMARS, Wuhan University, No.129 Luo Yu Road, Wuhan, China
  • 2School of Resource and Environmental Sciences, Wuhan University, No.129 Luo Yu Road, Wuhan, China

Keywords: Sensor correction, ROI, Steady reimaging, High resolution optical satellite, Wide swath imagery

Abstract. To meet the requirement of high accuracy and high speed processing for wide swath high resolution optical satellite imagery under emergency situation in both ground processing system and on-board processing system. This paper proposed a ROI-orientated sensor correction algorithm based on virtual steady reimaging model for wide swath high resolution optical satellite imagery. Firstly, the imaging time and spatial window of the ROI is determined by a dynamic search method. Then, the dynamic ROI sensor correction model based on virtual steady reimaging model is constructed. Finally, the corrected image corresponding to the ROI is generated based on the coordinates mapping relationship which is established by the dynamic sensor correction model for corrected image and rigours imaging model for original image. Two experimental results show that the image registration between panchromatic and multispectral images can be well achieved and the image distortion caused by satellite jitter can be also corrected efficiently.