Skip to main content
Log in

Novel approach on fusion of multisensor images based on neutrosophic domain in consideration of regional relevance

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

The presented work describes the fusion of multisensor (Multispectral and Panchromatic) images in remote sensing domain. The fusion of multisensor remote sensing images which utilizes neutrosophic set is introduced. The proposed approach preserves the intrinsic structural information as well as bringing the complimentary information to the supplementary information in a right proportion. Novel regional based fusion rule is introduced in the proposed work. The indeterminacy in the input data is handled to provide a comprehensive fusion result, where the compared methods fails. The proposed approach is tested against the Multi-resolution Analysis(MRA) and Multi-Geometric Analysis based techniques quantitatively and qualitatively based on the metrics. The proposed approach provides promoting results against the compared methods in terms of quality and quantity is observed through experimental results.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  1. Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 65(1):2–16

    Article  Google Scholar 

  2. Candes E, Demanet L, Donoho D, Ying L (2006) Fast discrete curvelet transforms. Multiscale Model Simul 5(3):861–899

    Article  MathSciNet  MATH  Google Scholar 

  3. Chen S, Su H, Zhang R, Tian J, Yang L (2008) The tradeoff analysis for remote sensing image fusion using expanded spectral angle mapper. Sensors 8(1):520–528

    Article  Google Scholar 

  4. Cheng S, Qiguang M, Pengfei X (2013) A novel algorithm of remote sensing image fusion based on shearlets and pcnn. Neurocomputing 117:47–53

    Article  Google Scholar 

  5. Da Cunha AL, Zhou J, Do MN (2006) The nonsubsampled contourlet transform: theory, design, and applications. IEEE Trans Image Process 15(10):3089–3101

    Article  Google Scholar 

  6. Deng C, Wang S, Chen X (2009) Remote sensing images fusion algorithm based on shearlet transform. In: IEEE International conference on Environmental science and information application technology, 2009. ESIAT 2009, vol 3, pp 451–454

  7. Do MN, Vetterli M (2005) The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans Image Process 14(12):2091–2106

    Article  Google Scholar 

  8. Guo Y, Cheng HD (2009) New neutrosophic approach to image segmentation. Pattern Recogn 42(5):587–595

    Article  MATH  Google Scholar 

  9. Guo Y, Şengür A (2014) A novel image edge detection algorithm based on neutrosophic set. Comput Electr Eng 40(8):3–25

    Article  Google Scholar 

  10. Hanbay K, Talu MF (2014) Segmentation of sar images using improved artificial bee colony algorithm and neutrosophic set. Appl Soft Comput 21:433–443

    Article  Google Scholar 

  11. Kong W, Zhang L, Lei Y (2014) Novel fusion method for visible light and infrared images based on nsst–sf–pcnn. Infrared Phys Technol 65:103–112

    Article  Google Scholar 

  12. Kun L, Lei G, Huihui L, Jingsong C (2009) Fusion of infrared and visible light images based on region segmentation. Chin J Aeronaut 22(1):75–80

    Article  Google Scholar 

  13. Lewis JJ, O’Callaghan RJ, Nikolov SG, Bull DR, Canagarajah N (2007) Pixel-and region-based image fusion with complex wavelets. Inf Fusion 8(2):119–130

    Article  Google Scholar 

  14. Li S, Kwok JT, Wang Y (2002) Using the discrete wavelet frame transform to merge landsat tm and spot panchromatic images. Inf Fusion 3(1):17–23

    Article  Google Scholar 

  15. Li Z, Chen J, Baltsavias E (2008) Advances in photogrammetry, remote sensing and spatial information sciences: 2008 ISPRS congress book, vol 7. CRC Press

  16. Li C, Yang X, Chu B, Lu W, Pang L (2010) A new image fusion quality assessment method based on contourlet and ssim. In: 2010 3rd IEEE International Conference on IEEE Computer Science and Information Technology (ICCSIT), vol 5. IEEE, pp 246–249

  17. Lim WQ (2010) The discrete shearlet transform: A new directional transform and compactly supported shearlet frames. IEEE Trans Image Process 19(5):1166–1180

    Article  MathSciNet  MATH  Google Scholar 

  18. Liu X, Zhou Y, Wang J (2014) Image fusion based on shearlet transform and regional features. AEU Int J Electron Commun 68(6):471–477

    Article  Google Scholar 

  19. LOGICS AUFI, LOGIC N (2002) Florentin smarandache

  20. Lu H, Hu X, Zhang L, Yang S, Serikawa S (2010) Local energy based image fusion in sharp frequency localized contourlet transform. J Computat Inf Syst 6 (12):3997–4005

    Google Scholar 

  21. Mangalraj, Anupam A (2014) Evaluation schema for sar image segmentation based on swarm optimization in neutrosopic domain. In: IEEE 2014 International symposium on Signal processing and information technology

  22. Mangalraj P, Agrawal A (2015a) Fusion of multi-sensor satellite images using non-subsampled contourlet transform. Procedia Comput Sci 54:713–720

    Article  Google Scholar 

  23. Mangalraj P, Agrawal RA (2015b) An efficient method based on wavelet for fusion of multi-sensor satellite images. In: 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT). IEEE, pp 1–6

  24. Miao Qg, Shi C, Xu Pf, Yang M, Shi Yb (2011) A novel algorithm of image fusion using shearlets. Opt Commun 284(6):1540–1547

    Article  Google Scholar 

  25. Piella G (2003) A general framework for multiresolution image fusion: from pixels to regions. Inf Fusion 4(4):259–280

    Article  Google Scholar 

  26. PohlC VGJL (1998) Multisensor image fusion in remote, sensing: Concepts, methods, application. Int J Remote Sens

  27. Qiguang M, Baoshu W (2006) A novel image fusion method using contourlet transform. In: 2006 International Conference on Communications, Circuits and Systems Proceedings, vol 1. IEEE, pp 548– 552

  28. Qu XB, Xie GF, Yan JW, Zhu ZQ, Chen BG (2007) Image fusion algorithm based on neighbors and cousins information in nonsubsampled contourlet transform domain. In: International Conference on Wavelet Analysis and Pattern Recognition, 2007. ICWAPR’07, vol 4. IEEE, pp 1797–1802

  29. Rivieccio U (2008) Neutrosophic logics: Prospects and problems. Fuzzy Sets Syst 159(14):1860–1868

    Article  MathSciNet  MATH  Google Scholar 

  30. Sengur A, Guo Y (2011) Color texture image segmentation based on neutrosophic set and wavelet transformation. Comput Vis Image Underst 115(8):1134–1144

    Article  Google Scholar 

  31. Smarandache F (2005) A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability: Neutrsophic Logic Neutrosophy, Neutrosophic Set, Neutrosophic Probability. Infinite Study

  32. Xiao-Hui Y, Li-Cheng J (2008) Fusion algorithm for remote sensing images based on nonsubsampled contourlet transform. Acta Automatica Sinica 34(3):274–281

    Article  Google Scholar 

  33. Yang S, Wang M, Jiao L, Wu R, Wang Z (2010) Image fusion based on a new contourlet packet. Inf Fusion 11(2):78–84

    Article  Google Scholar 

  34. Zhang M (2010) Novel approaches to image segmentation based on neutrosophic logic

  35. Zhang M, Zhang L, Cheng H (2010) A neutrosophic approach to image segmentation based on watershed method. Signal Process 90(5):1510–1517

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to P. Mangalraj.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mangalraj, P., Agrawal, A. Novel approach on fusion of multisensor images based on neutrosophic domain in consideration of regional relevance. Multimed Tools Appl 77, 1843–1860 (2018). https://doi.org/10.1007/s11042-017-4366-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-017-4366-x

Keywords

Navigation