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.
Similar content being viewed by others
References
Blaschke T (2010) Object based image analysis for remote sensing. ISPRS J Photogramm Remote Sens 65(1):2–16
Candes E, Demanet L, Donoho D, Ying L (2006) Fast discrete curvelet transforms. Multiscale Model Simul 5(3):861–899
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
Cheng S, Qiguang M, Pengfei X (2013) A novel algorithm of remote sensing image fusion based on shearlets and pcnn. Neurocomputing 117:47–53
Da Cunha AL, Zhou J, Do MN (2006) The nonsubsampled contourlet transform: theory, design, and applications. IEEE Trans Image Process 15(10):3089–3101
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
Do MN, Vetterli M (2005) The contourlet transform: an efficient directional multiresolution image representation. IEEE Trans Image Process 14(12):2091–2106
Guo Y, Cheng HD (2009) New neutrosophic approach to image segmentation. Pattern Recogn 42(5):587–595
Guo Y, Şengür A (2014) A novel image edge detection algorithm based on neutrosophic set. Comput Electr Eng 40(8):3–25
Hanbay K, Talu MF (2014) Segmentation of sar images using improved artificial bee colony algorithm and neutrosophic set. Appl Soft Comput 21:433–443
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
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
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
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
Li Z, Chen J, Baltsavias E (2008) Advances in photogrammetry, remote sensing and spatial information sciences: 2008 ISPRS congress book, vol 7. CRC Press
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
Lim WQ (2010) The discrete shearlet transform: A new directional transform and compactly supported shearlet frames. IEEE Trans Image Process 19(5):1166–1180
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
LOGICS AUFI, LOGIC N (2002) Florentin smarandache
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
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
Mangalraj P, Agrawal A (2015a) Fusion of multi-sensor satellite images using non-subsampled contourlet transform. Procedia Comput Sci 54:713–720
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
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
Piella G (2003) A general framework for multiresolution image fusion: from pixels to regions. Inf Fusion 4(4):259–280
PohlC VGJL (1998) Multisensor image fusion in remote, sensing: Concepts, methods, application. Int J Remote Sens
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
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
Rivieccio U (2008) Neutrosophic logics: Prospects and problems. Fuzzy Sets Syst 159(14):1860–1868
Sengur A, Guo Y (2011) Color texture image segmentation based on neutrosophic set and wavelet transformation. Comput Vis Image Underst 115(8):1134–1144
Smarandache F (2005) A Unifying Field in Logics: Neutrosophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability: Neutrsophic Logic Neutrosophy, Neutrosophic Set, Neutrosophic Probability. Infinite Study
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
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
Zhang M (2010) Novel approaches to image segmentation based on neutrosophic logic
Zhang M, Zhang L, Cheng H (2010) A neutrosophic approach to image segmentation based on watershed method. Signal Process 90(5):1510–1517
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
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
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-017-4366-x