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Research Article

Tensor-based keypoint detection and switching regression model for relative radiometric normalization of bitemporal multispectral images

ORCID Icon, ORCID Icon & ORCID Icon
Pages 3927-3956 | Received 25 Feb 2022, Accepted 11 Jul 2022, Published online: 11 Aug 2022

References

  • Alcantarilla, P. F. and T. Solutions. 2011. “Fast Explicit Diffusion for Accelerated Features in Nonlinear Scale Spaces.” IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (7): 1281–1298.
  • Alcantarilla, P. F., A. Bartoli, and A. J. Davison. 2012. “KAZE Features.” In European Conference on Computer Vision , Berlin, Heidelberg, 214–227. Springer.
  • Bai, Y., P. Tang, and C. Hu. 2018. “kCca Transformation-Based Radiometric Normalization of Multi-Temporal Satellite Images.” Remote Sensing 10 (3): 432. doi:10.3390/rs10030432.
  • Bay, H., T. Tuytelaars, and L. Van Gool. 2006. “Surf: Speeded Up Robust Features.” In European conference on computer vision , Berlin, Heidelberg, 404–417. Springer.
  • Bonnet, W. and T. Celik. 2021. “Random Sampling-Based Relative Radiometric Normalization“ , IEEE Geoscience and Remote Sensing Letters, 19: 1–4 doi:10.1109/LGRS.2020.3047344 .
  • Brodu, N. 2017. “Super-Resolving Multiresolution Images with Band-Independent Geometry of Multispectral Pixels.” IEEE Transactions on Geoscience and Remote Sensing 55 (8): 4610–4617. doi:10.1109/TGRS.2017.2694881.
  • Brown, M. and D. G. Lowe. 2002. ”Invariant Features from Interest Point Groups.” In Bmvc. Vol. 4. Citeseer. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.66.4499&rep=rep1&type=pdf.
  • Brown, M. E., J. E. Pinzón, K. Didan, J. T. Morisette, and C. J. Tucker. 2006. “Evaluation of the Consistency of Long-Term NDVI Time Series Derived from AVHRR, SPOT-Vegetation, SeaWifs, MODIS, and Landsat ETM+ Sensors.” IEEE Transactions on Geoscience and Remote Sensing 44 (7): 1787–1793. doi:10.1109/TGRS.2005.860205.
  • Canty, M. J. and A. A. Nielsen. 2008. “Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-Weighted MAD Transformation.” Remote Sensing of Environment 112 (3): 1025–1036. doi:10.1016/j.rse.2007.07.013.
  • Celik, T. 2009. “Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and K-Means Clustering.” IEEE Geoscience and Remote Sensing Letters 6 (4): 772–776. doi:10.1109/LGRS.2009.2025059.
  • Chen, C., Z. Chen, M. Li, Y. Liu, L. Cheng, and Y. Ren. 2014. “Parallel Relative Radiometric Normalisation for Remote Sensing Image Mosaics.” Computers & Geosciences 73: 28–36. doi:10.1016/j.cageo.2014.08.007.
  • Denaro, L. G. and C.-H. Lin. 2020. “Hybrid Canonical Correlation Analysis and Regression for Radiometric Normalization of Cross-Sensor Satellite Imagery.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 976–986. doi:10.1109/JSTARS.2020.2971857.
  • Drucker, H., C. J. Burges, L. Kaufman, A. Smola, V. Vapnik, et al. 1997. ”Support Vector Regression Machines.” Advances in Neural Information Processing Systems 9:155–161.
  • Evans, C. 2009. “Notes on the Opensurf Library.” University of Bristol, Tech. Rep. CSTR-09-001, January (1).
  • Gaspar, P., J. Carbonell, and J. Lus Oliveira. 2012. “On the Parameter Optimization of Support Vector Machines for Binary Classification.” Journal of Integrative Bioinformatics 9 (3): 33–43. doi:10.1515/jib-2012-201.
  • Geng, J., W. Gan, J. Xu, R. Yang, and S. Wang. 2020. “Support Vector Machine Regression (SVR)-Based Nonlinear Modeling of Radiometric Transforming Relation for the Coarse-Resolution Data-Referenced Relative Radiometric Normalization (RRN).” Geo-Spatial Information Science 23 (3): 237–247. doi:10.1080/10095020.2020.1785958.
  • Gross, A. M. 1977. “Confidence Intervals for Bisquare Regression Estimates.” Journal of the American Statistical Association 72 (358): 341–354. doi:10.1080/01621459.1977.10481001.
  • Guo, G., Y. Fu, C. R. Dyer, and T. S. Huang. 2008. “Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression.” IEEE Transactions on Image Processing 17 (7): 1178–1188. doi:10.1109/TIP.2008.924280.
  • Hall, F. G., D. E. Strebel, J. E. Nickeson, and S. J. Goetz. 1991. “Radiometric Rectification: Toward a Common Radiometric Response Among Multidate, Multisensor Images.” Remote Sensing of Environment 35 (1): 11–27. doi:10.1016/0034-4257(91)90062-B.
  • Holland, P. W. and R. E. Welsch. 1977. “Robust Regression Using Iteratively Reweighted Least-Squares.” Communications in Statistics-Theory and Methods 6 (9): 813–827. doi:10.1080/03610927708827533.
  • Leutenegger, S., M. Chli, and R. Y. Siegwart. 2011. “BRISK: Binary Robust Invariant Scalable Keypoints.” In 2011 International conference on computer vision , Barcelona, Spain, 2548–2555. Ieee.
  • Liu, K., T. Ke, P. Tao, J. He, K. Xi, and K. Yang. 2020. “Robust Radiometric Normalization of Multitemporal Satellite Images via Block Adjustment Without Master Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 6029–6043. doi:10.1109/JSTARS.2020.3028062.
  • Lowe, D. G. 2004. “Distinctive Image Features from Scale-Invariant Keypoints.” International Journal of Computer Vision 60 (2): 91–110. doi:10.1023/B:VISI.0000029664.99615.94.
  • Mangasarian, O. L. and D. R. Musicant. 2000. “Robust Linear and Support Vector Regression.” IEEE Transactions on Pattern Analysis and Machine Intelligence 22 (9): 950–955. doi:10.1109/34.877518.
  • Moghimi, A., T. Celik, A. Mohammadzadeh, and H. Kusetogullari. 2021a. “Comparison of Keypoint Detectors and Descriptors for Relative Radiometric Normalization of Bitemporal Remote Sensing Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 4063–4073. doi:10.1109/JSTARS.2021.3069919.
  • Moghimi, A., A. Mohammadzadeh, T. Celik, and M. Amani. 2021b. “A Novel Radiometric Control Set Sample Selection Strategy for Relative Radiometric Normalization of Multitemporal Satellite Images.” IEEE Transactions on Geoscience and Remote Sensing 59 (3): 2503–2519. doi:10.1109/TGRS.2020.2995394.
  • Moghimi, A., A. Sarmadian, A. Mohammadzadeh, T. Celik, M. Amani, and H. Kusetogullari. 2021c. “Distortion Robust Relative Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Using Image Features“ IEEE Transactions on Geoscience and Remote Sensing 60: 1–20. doi:10.1109/TGRS.2021.3063151.
  • Moghimi, A., A. Mohammadzadeh, T. Celik, B. Brisco, and M. Amani. 2022. “Automatic Relative Radiometric Normalization of Bi-Temporal Satellite Images Using a Coarse-To-Fine Pseudo-Invariant Features Selection and Fuzzy Integral Fusion Strategies.” Remote Sensing 14 (8): 1777. doi:10.3390/rs14081777.
  • Mohsenifar, A., A. Mohammadzadeh, A. Moghimi, and B. Salehi. 2021. “A Novel Unsupervised Forest Change Detection Method Based on the Integration of a Multiresolution Singular Value Decomposition Fusion and an Edge-Aware Markov Random Field Algorithm.” International Journal of Remote Sensing 42 (24): 9376–9404. doi:10.1080/01431161.2021.1995075.
  • Nafchi, H. Z., A. Shahkolaei, R. Hedjam, and M. Cheriet. 2017. “CorrC2g: Color to Gray Conversion by Correlation.” IEEE Signal Processing Letters 24 (11): 1651–1655. doi:10.1109/LSP.2017.2755077.
  • Oyallon, E. and J. Rabin. 2015. “An Analysis of the SURF Method.” Image Processing on Line 5: 176–218. doi:10.5201/ipol.2015.69.
  • Richards, J. A. and J.A. Richards. 1999. Remote Sensing Digital Image Analysis. Vol. 3. Berlin, Heidelberg: Springer. doi:10.1007/978-3-662-03978-6.
  • Rublee, E., V. Rabaud, K. Konolige, and G. Bradski. 2011. “ORB: An Efficient Alternative to SIFT or SURF.” In 2011 International conference on computer vision Barcelona, Spain, 2564–2571. Ieee.
  • Sadeghi, V., H. Ebadi, and F. Farnood Ahmadi. 2013. “A New Model for Automatic Normalization of Multitemporal Satellite Images Using Artificial Neural Network and Mathematical Methods.” Applied Mathematical Modelling 37 (9): 6437–6445. doi:10.1016/j.apm.2013.01.006.
  • Seo, D. K., Y. Hyun Kim, E. Yang Dam, W. Yong Park, and H. Chun Park. 2017. “Generation of Radiometric, Phenological Normalized Image Based on Random Forest Regression for Change Detection.” Remote Sensing 9 (11): 1163. doi:10.3390/rs9111163.
  • Smola, A. J. and B. Schölkopf. 2004. “A Tutorial on Support Vector Regression.” Statistics and Computing 14 (3): 199–222. doi:10.1023/B:STCO.0000035301.49549.88.
  • Strehl, A. and J. Ghosh. 2002. “Cluster Ensembles—a Knowledge Reuse Framework for Combining Multiple Partitions.” Journal of Machine Learning Research 3 (Dec): 583–617.
  • Teillet, P.M. 1986. “Image Correction for Radiometric Effects in Remote Sensing.” International Journal of Remote Sensing 7 (12): 1637–1651. doi:10.1080/01431168608948958.
  • Xu, H., Y. Wei, X. Li, Y. Zhao, and Q. Cheng. 2021. “A Novel Automatic Method on Pseudo-Invariant Features Extraction for Enhancing the Relative Radiometric Normalization of High-Resolution Images.” International Journal of Remote Sensing 42 (16): 6155–6186.
  • Yang, X. C.P. Lo. 2000. ”Relative Radiometric Normalization Performance for Change Detection from Multi-Date Satellite Images.” Photogrammetric Engineering and Remote Sensing 66 (8): 967–980.
  • Zhang, X., R. Feng, X. Li, H. Shen, and Z. Yuan. 2020. “Block Adjustment-Based Radiometric Normalization by Considering Global and Local Differences“ IEEE Geoscience and Remote Sensing Letters 19: 1–5. doi:10.1109/LGRS.2020.3031398.
  • Zhou, H., S. Liu, J. He, Q. Wen, L. Song, and Y. Ma. 2016. “A New Model for the Automatic Relative Radiometric Normalization of Multiple Images with Pseudo-Invariant Features.” International Journal of Remote Sensing 37 (19): 4554–4573. doi:10.1080/01431161.2016.1213922.

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