• Laser & Optoelectronics Progress
  • Vol. 57, Issue 18, 181013 (2020)
Mingwei Xiao1、*, Sumin Li1、2, and Yan Li3
Author Affiliations
  • 1Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650093, China
  • 2Surveying and Mapping Geo-Informatics Technology Research Center on Plateau Mountains of Yunnan Higher Education, Kunming, Yunnan 650093, China
  • 3Comprehensive Research Institute of Science, Technology and Industry for National Defense of Yunnan Province, Kunming, Yunnan 650200, China
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    DOI: 10.3788/LOP57.181013 Cite this Article Set citation alerts
    Mingwei Xiao, Sumin Li, Yan Li. Fusion of Domestic High Resolution Synthetic Aperture Radar and Optical Images Based on Regional IHS_NSST[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181013 Copy Citation Text show less
    References

    [1] Jia Y H, Li D R, Sun J B. Data fusion techniques for multisources remotely sensed imagery[J]. Remote Sensing Technology and Application, 15, 41-44(2000).

    [2] Mishra V N, Prasad R, Kumar P et al. Dual-polarimetric C-band SAR data for land use/land cover classification by incorporating textural information[J]. Environmental Earth Sciences, 76, 26(2017).

    [3] Gu X Z, Zeng Q W, Shen H et al. Study on water information extraction using domestic GF-3 image[J]. Journal of Remote Sensing, 23, 555-565(2019).

    [4] Wang G J, Zhang F L, Xu X et al. Geometrical model-based three-dimensional building extraction in high-resolution SAR imagery[J]. Journal of Infrared and Millimeter Waves, 32, 444-449, 480(2013).

    [5] Jia Y H, Li D R. Comparison of IHS transformation for integrating SAR and TM images[J]. Journal of Remote Sensing, 2, 103-106, T001(1998).

    [6] Pal S K, Majumdar T J, Bhattacharya A K. ERS-2 SAR and IRS-1C LISS III data fusion: a PCA approach to improve remote sensing based geological interpretation[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 61, 281-297(2007).

    [7] Limpitlaw D, Gens R. Dambo mapping for environmental monitoring using Landsat TM and SAR imagery: case study in the Zambian Copperbelt[J]. International Journal of Remote Sensing, 27, 4839-4845(2006).

    [8] Zhang H L, Jiang J J, Wu H A et al. The BP neural network classification based on the fusion of SAR and TM images[J]. Acta Geodaetica et Cartographica Sinica, 35, 229-233, 239(2006).

    [9] Ma J J, Gong M G, Zhou Z Q. Wavelet fusion on ratio images for change detection in SAR images[J]. IEEE Geoscience and Remote Sensing Letters, 9, 1122-1126(2012).

    [10] Su Z Y, Zhang L, Pu J X et al. Fusion algorithm of SAR and visible images based on NSCT[J]. Computer Engineering and Applications, 47, 166-168, 178(2011).

    [11] Ji X X. Improved image fusion method of infrared image and SAR image via Shearlet and sparse representation. [C]∥2016 8th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC), August 27-28, 2016, Hangzhou, China. New York: IEEE, 16546209(2016).

    [12] Liu J, Lei Y J, Xing Y Q et al[J]. Fusion technique for SAR and gray visible image based on hidden Markov model in non-subsample shearlet transform domain Control and Decision, 2016, 453-457.

    [13] Hong G, Zhang Y, Mercer B. A wavelet and IHS integration method to fuse high resolution SAR with moderate resolution multispectral images[J]. Photogrammetric Engineering and Remote Sensing, 75, 1213-1223(2009).

    [14] Tai J H, Pan B, Zhao S S et al. SAR and multispectral remote sensing image fusion method using shearlet transform[J]. Geomatics and Information Science of Wuhan University, 42, 468-474(2017).

    [15] Sheng J J, Yang X Z, Dong Z Y et al. Fusion of SAR and visible images based on NSST-IHS and sparse representation[J]. Journal of Graphics, 39, 201-208(2018).

    [16] Yi W, Zeng Y, Yuan Z. Fusion of GF-3 SAR and optical images based on the nonsubsampled contourlet transform[J]. Acta Optica Sinica, 38, 1110002(2018).

    [17] Tong X D, Zhao W B, Xing J et al. Status and development of China High-Resolution Earth Observation System and application. [C]∥2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 10-15, 2016, Beijing, China. New York: IEEE, 3738-3741(2016).

    [18] Zhang Q J. System design and key technologies of the GF-3 satellite[J]. Acta Geodaetica et Cartographica Sinica, 46, 269-277(2017).

    [19] Ling Y, Ehlers M, Usery E L et al. Effects of spatial resolution ratio in image fusion[J]. Journal of Remote Sensing, 29, 2157-2167(2008).

    [20] Yan S W. A study of image fusion technology based on wavelet transform[D]. Lanzhou:Lanzhou University, 1-39(2012).

    [21] Broussard R P, Rogers S K, Oxley M E et al. Physiologically motivated image fusion for object detection using a pulse coupled neural network[J]. IEEE Transactions on Neural Networks, 10, 554-563(1999).

    [22] Liao Y, Huang W L, Shang L et al. Image fusion based on Shearlet and improved PCNN[J]. Computer Engineering and Applications, 50, 142-146(2014).

    [23] Wu Y Q, Wang Z L. Multispectral and panchromatic image fusion using chaotic Bee Colony optimization in NSST domain[J]. Journal of Remote Sensing, 21, 549-557(2017).

    [24] Qu X B, Yan J W, Yang G D. Multifocus image fusion method of sharp frequency localized contourlet transform domain based on sum-modified-Laplacian[J]. Optics and Precision Engineering, 17, 1203-1212(2009).

    [25] Sun X L, Wang Z Y, Fu Y Q et al. Fast image fusion based on sum of modified Laplacian[J]. Computer Engineering and Applications, 51, 193-197(2015).

    [26] Kong W W, Wang B H, Li B B[M]. Image fusion multiresolution non-subsampled, 225-236(2015).

    Mingwei Xiao, Sumin Li, Yan Li. Fusion of Domestic High Resolution Synthetic Aperture Radar and Optical Images Based on Regional IHS_NSST[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181013
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