Line-Drop Error Correction for LAPAN-A2 Microsatellite Imagery

During satellite data transmission, several schemes of unavoidable errors may be experienced by the ground receiver. In the case of LAPAN-A2 imagery, those errors account for the presence of byte-missing effect disordering the position of pixel location on received raw data. Processing raw data contaminated by the byte-shifting effect will produce a line-drop pattern covering the original image on a particular line. This work is aimed to develop line-drop correction algorithm applied on three different levels of LAPAN-A2 microsatellite imagery data. A quantitative analysis was also performed on corrected images to determine the most suitable correction method for LAPAN-A2 imagery. In the end, a comparison between the developed method and an existing method has been demonstrated. It is confirmed that the developed method is better than the existing method in terms of producing a better quality of corrected images and performing a faster computational task. The developed method can be used as a solution to avoid data re-transmission to recover clear image data.

[1]  Patrick C. Teo,et al.  Perceptual image distortion , 1994, Electronic Imaging.

[2]  Bülent Sankur,et al.  Statistical evaluation of image quality measures , 2002, J. Electronic Imaging.

[3]  V. Ojeh,et al.  Effects of Weather Conditions on Satellite Television Cable Network Reception Quality in Warri Metropolis, Delta State, Nigeria , 2018 .

[4]  Kohei Arai,et al.  Method for Uncertainty Evaluation of Vicarious Calibration of Spaceborne Visible to Near Infrared Radiometers , 2019 .

[5]  Gwanggil Jeon,et al.  Bayer Pattern CFA Demosaicking Based on Multi-Directional Weighted Interpolation and Guided Filter , 2015, IEEE Signal Processing Letters.

[6]  M. Wegener.  Destriping multiple sensor imagery by improved histogram matching , 1990 .

[7]  Md. Inzamul Haque,et al.  Land cover change detection using GIS and remote sensing techniques: A spatio-temporal study on Tanguar Haor, Sunamganj, Bangladesh. , 2016, 2016 International Conference on Innovations in Science, Engineering and Technology (ICISET).

[8]  Wahyudi Hasbi,et al.  Pre-Flight Radiometric Model of Linear Imager on LAPAN-IPB Satellite , 2018 .

[9]  Jian Guo Liu,et al.  FFT Selective and Adaptive Filtering for Removal of Systematic Noise in ETM+ Imageodesy Images , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[10]  D. Van der Weken,et al.  Image quality evaluation , 2002, 6th International Conference on Signal Processing, 2002..

[11]  Yap-Peng Tan,et al.  Color filter array demosaicking: new method and performance measures , 2003, IEEE Trans. Image Process..

[12]  Udo Renner,et al.  The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance , 2019, Applied Sciences.

[13]  Alan C. Bovik,et al.  Image information and visual quality , 2006, IEEE Trans. Image Process..

[14]  James M. White,et al.  Landsat Data Destriping Using Power Spectral Filtering , 1988 .

[15]  Gang Wang,et al.  Performance evaluation of SATCOM link in the presence of radio frequency interference , 2016, 2016 IEEE Aerospace Conference.

[17]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[18]  John B. Shoven,et al.  I , Edinburgh Medical and Surgical Journal.

[19]  Robert J. Woodham,et al.  Destriping LANDSAT MSS images by histogram modification , 1979 .

[20]  Paul S. Fisher,et al.  Image quality measures and their performance , 1995, IEEE Trans. Commun..

[21]  Constantine Butakoff,et al.  Frequency domain medianlike filter for periodic and quasi-periodic noise removal , 2002, IS&T/SPIE Electronic Imaging.