SAR/ISAR ADVANCED IMAGE RECONSTRUCTION ALGORITHMS
Ключови думи :
SAR/ISARАбстракт
In this work SAR/ISAR (Inverse Synthetic Aperture Radar/Inverse Synthetic Aperture Radar) parametric image reconstruction concepts are discussed. First, an image reconstruction procedure based on l0 norm optimization is developed and applied over reduced number of measurements defined by randomly generated azimuth and range sensing matrices. Second, Kalman algorithm is applied for ISAR image extraction. Vector measurement and state equations are derived. Approximation functions based on LFM signal are defined. Results of numerical experiments are presented.
Сваляния
Данните за свалянията все още не са налични.
Литература (библиография)
[1] Nicolas, J-M, G. Vasile, M. Gay, Fl. Tupin, and Em. Trouvé. SAR processing in the temporal domain: application to direct interferogram generation and mountain glacier monitoring Can. J. Remote Sensing, Vol. 33, No. 1, 2007, pp. 52–59.
[2] Van Leijen, F. R. Hanssen. Interferometric radar meteorology: resolving the acquisition ambiguity. In CEOS SAR Workshop, Ulm Germany, 27-28 May 2004, page 6, 2004.
[3] Lin, Y.G., Zhang, B.C., Hong, W.,. Wu, Y.R. .Along-track interferometric SAR imaging based on distributed compressed sensing, Electronics Letters, Vol. 46, No 12, 10 June 2010, p. 858 – 860.
[4] Wei, S.-J., Zhang, X.-L., Shi, J. and Xiang, G.. "Sparse reconstruction for SAR imaging based on compressed sensing," Progress in Electromagnetics Research, Vol. 109, 2010, pp. 63-81.
[5] Gurbuza, Ali C., McClellanb, James H.,Waymond, R., Scott, Jr.b. Compressive sensing for subsurface imaging using ground penetrating radar, Signal Processing, Volume 89, Issue 10, October 2009, pp. 1959–1972.
[6] Cai, J.-L., Tong, C.-M., Zhong, W.-J. and Ji, W.-J.. "3D imaging method for stepped frequency ground penetrating radar based on compressive sensing", Progress In Electromagnetics Research M, Vol. 23, 2012, pp. 153-165.
[7] Mohimani, H., Babaie-Zadeh, M. and Jutten, C.. “A fast approach for overcomplete sparse decomposition based on smoothed norm,” IEEE Trans. on Signal Proc, vol. 57, no. 1, , January 2009, pp. 289–301.
[8] Li, J., Zhang, S. and Chang, J.. "Applications of compressed sensing for multiple transmitters multiple azimuth beams SAR imaging," Progress in Electromagnetics Research, Vol. 127, 2012, pp. 259-275.
[9] Quan, Y. H., Zhang L., Guo R., et al. Generating dense and super-resolution ISAR image by combining bandwidth extrapolation and compressive sensing. Sci China Inf Sci, 2011, 54: pp. 2158–2169, doi: 10.1007/s11432011-4298-4.
[10] Ghaffari, A., Babaie-Zadeh, M., Jutter, C. and Moghaddam, H.. “Sparse decomposition of two-dimensional signals”, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, pp. 3157-3160.
[2] Van Leijen, F. R. Hanssen. Interferometric radar meteorology: resolving the acquisition ambiguity. In CEOS SAR Workshop, Ulm Germany, 27-28 May 2004, page 6, 2004.
[3] Lin, Y.G., Zhang, B.C., Hong, W.,. Wu, Y.R. .Along-track interferometric SAR imaging based on distributed compressed sensing, Electronics Letters, Vol. 46, No 12, 10 June 2010, p. 858 – 860.
[4] Wei, S.-J., Zhang, X.-L., Shi, J. and Xiang, G.. "Sparse reconstruction for SAR imaging based on compressed sensing," Progress in Electromagnetics Research, Vol. 109, 2010, pp. 63-81.
[5] Gurbuza, Ali C., McClellanb, James H.,Waymond, R., Scott, Jr.b. Compressive sensing for subsurface imaging using ground penetrating radar, Signal Processing, Volume 89, Issue 10, October 2009, pp. 1959–1972.
[6] Cai, J.-L., Tong, C.-M., Zhong, W.-J. and Ji, W.-J.. "3D imaging method for stepped frequency ground penetrating radar based on compressive sensing", Progress In Electromagnetics Research M, Vol. 23, 2012, pp. 153-165.
[7] Mohimani, H., Babaie-Zadeh, M. and Jutten, C.. “A fast approach for overcomplete sparse decomposition based on smoothed norm,” IEEE Trans. on Signal Proc, vol. 57, no. 1, , January 2009, pp. 289–301.
[8] Li, J., Zhang, S. and Chang, J.. "Applications of compressed sensing for multiple transmitters multiple azimuth beams SAR imaging," Progress in Electromagnetics Research, Vol. 127, 2012, pp. 259-275.
[9] Quan, Y. H., Zhang L., Guo R., et al. Generating dense and super-resolution ISAR image by combining bandwidth extrapolation and compressive sensing. Sci China Inf Sci, 2011, 54: pp. 2158–2169, doi: 10.1007/s11432011-4298-4.
[10] Ghaffari, A., Babaie-Zadeh, M., Jutter, C. and Moghaddam, H.. “Sparse decomposition of two-dimensional signals”, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, 2009, pp. 3157-3160.
Файлове за сваляне
Публикуван
2018-07-21
Брой
Раздел (Секция)
Конференция на БСУ „Синя икономика и синьо развитие“. ISBN 978-619-7126-57-0
Лиценз
Статиите публикувани в списание КНК са лицензирани под Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Как да цитирате
SAR/ISAR ADVANCED IMAGE RECONSTRUCTION ALGORITHMS. (2018). КОМПЮТЪРНИ НАУКИ И КОМУНИКАЦИИ, 7(1), 62-71. https://csc.bfu.bg/index.php/CSC/article/view/208
