Self-paced stacked denoising autoencoders based on differential evolution for change detection
•We put forward a self-paced stacked denoising autoencoders model for change detection in radar images.•Every training sample is assigned with a weight, then deep network stacked denoising autoencoders is adopted to learn these weighted samples.•Self-paced learning is employed for alternately traini...
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| Vydané v: | Applied soft computing Ročník 71; s. 698 - 714 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Elsevier B.V
01.10.2018
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| ISSN: | 1568-4946, 1872-9681 |
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| Abstract | •We put forward a self-paced stacked denoising autoencoders model for change detection in radar images.•Every training sample is assigned with a weight, then deep network stacked denoising autoencoders is adopted to learn these weighted samples.•Self-paced learning is employed for alternately training stacked denoising autoencoders and updating the sample weights.•We adopt differential evolution to optimize the pace parameter used in the proposed model.
Due to the existence of speckle noise in synthetic aperture radar images, the traditional unsupervised change detection methods do not need any prior information whereas cannot preserve details well. In order to improve change detection performance, change detection methods exploiting supervised classifier have been investigated recently. These methods require reliable labeled samples to train a robust classifier and these samples are always unavailable for image change detection. In this paper, we put forward a novel self-paced stacked denoising autoencoders model to address this issue. In the proposed model, stacked denoising autoencoders are adopted as the supervised classifier, and then self-paced learning is employed to improve it. During iterations, each training sample is associated with a weight and stacked denoising autoencoders are implemented to learn these weighted samples. Furthermore, in the original self-paced learning, it is difficult to determine the pace parameter for acquiring the desired classification performance. Therefore differential evolution is employed to acquire an appropriate pace parameter sequence. Experiments on five real synthetic aperture radar image datasets demonstrate the feasibility and availability of the proposed model. Compared with several other change detection methods, the proposed model is more robust to the speckle noise and can achieve better performance on high resolution synthetic aperture radar images. |
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| AbstractList | •We put forward a self-paced stacked denoising autoencoders model for change detection in radar images.•Every training sample is assigned with a weight, then deep network stacked denoising autoencoders is adopted to learn these weighted samples.•Self-paced learning is employed for alternately training stacked denoising autoencoders and updating the sample weights.•We adopt differential evolution to optimize the pace parameter used in the proposed model.
Due to the existence of speckle noise in synthetic aperture radar images, the traditional unsupervised change detection methods do not need any prior information whereas cannot preserve details well. In order to improve change detection performance, change detection methods exploiting supervised classifier have been investigated recently. These methods require reliable labeled samples to train a robust classifier and these samples are always unavailable for image change detection. In this paper, we put forward a novel self-paced stacked denoising autoencoders model to address this issue. In the proposed model, stacked denoising autoencoders are adopted as the supervised classifier, and then self-paced learning is employed to improve it. During iterations, each training sample is associated with a weight and stacked denoising autoencoders are implemented to learn these weighted samples. Furthermore, in the original self-paced learning, it is difficult to determine the pace parameter for acquiring the desired classification performance. Therefore differential evolution is employed to acquire an appropriate pace parameter sequence. Experiments on five real synthetic aperture radar image datasets demonstrate the feasibility and availability of the proposed model. Compared with several other change detection methods, the proposed model is more robust to the speckle noise and can achieve better performance on high resolution synthetic aperture radar images. |
| Author | Miao, Qiguang Gong, Maoguo Wang, Congcong Li, Hao |
| Author_xml | – sequence: 1 givenname: Hao surname: Li fullname: Li, Hao organization: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China – sequence: 2 givenname: Maoguo orcidid: 0000-0002-0415-8556 surname: Gong fullname: Gong, Maoguo email: gong@ieee.org organization: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China – sequence: 3 givenname: Congcong surname: Wang fullname: Wang, Congcong organization: Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, China – sequence: 4 givenname: Qiguang surname: Miao fullname: Miao, Qiguang organization: School of Computer Science and Technology, Xidian University, China |
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| Cites_doi | 10.1016/j.ins.2017.05.043 10.1109/TGRS.2010.2045506 10.1109/TIP.2002.999678 10.1016/j.asoc.2015.10.044 10.1111/j.2517-6161.1977.tb01600.x 10.1016/j.eswa.2012.02.144 10.1109/ICNN.1995.488968 10.1007/s00500-014-1460-0 10.1109/JSTARS.2012.2201135 10.1016/0031-3203(86)90030-0 10.1109/TSMCC.2012.2212007 10.1109/JSTARS.2008.2002221 10.1109/LGRS.2017.2764123 10.1109/TGRS.2006.876288 10.1109/TIP.2010.2040763 10.3390/rs10010110 10.3390/rs9111135 10.1109/TNNLS.2015.2435783 10.1016/j.ins.2010.10.016 10.1109/LGRS.2014.2352264 10.1109/JSTARS.2014.2347171 10.1109/TPAMI.2017.2652459 10.1023/A:1008202821328 10.1016/S0167-8655(03)00060-6 10.1117/1.JRS.10.046019 |
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| Keywords | Differential evolution Image change detection Self-paced learning Stacked denoising autoencoders Synthetic aperture radar |
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| References | Ghosh, Mishra, Ghosh (bib0070) 2011; 181 Vincent, Larochelle, Bengio, Manzagol (bib0105) 2008 Vesterstrom, Thomsen (bib0215) 2013 Bruzzone, Prieto (bib0055) 2002; 11 Krinidis, Chatzis (bib0075) 2010; 19 Kittler, Illingworth (bib0060) 1986; 19 Ghosh, Das, Zafar (bib0195) 2012; 42 Del Frate, Pacifici, Solimini (bib0090) 2008; 1 Muhuri, Ratha, Bhattacharya (bib0045) 2017; 14 Moser, Serpico (bib0235) 2006; 44 Avendano, Mora, Vera, Torres, Prieto (bib0050) 2015 Ban, Yousif (bib0085) 2016 Li, Gong (bib0185) 2017 Holland (bib0205) 1992 Jiang, Meng, Zhao, Shan, Hauptmann (bib0125) 2015 Lin, Wang, Meng, Zuo, Zhang (bib0135) 2018; 40 Li, Gong, Wang, Liu, Su (bib0005) 2016; 46 Bengio (bib0160) 2009 Chen, Shi, Ma, Lei, Gong (bib0030) 2017 Sangineto, Nabi, Culibrk, Sebe (bib0145) 2017; PP Zhao, Meng, Jiang, Xie, Xu, Hauptmann (bib0175) 2015 Kennedy, Eberhart (bib0210) 1995 Jiang, Meng, Mitamura, Hauptmann (bib0170) 2014 Gao, Dong, Li, Xu, Xie (bib0095) 2016; 10 Gong, Zhao, Liu, Miao, Jiao (bib0015) 2016; 27 Rosin, Ioannidis (bib0220) 2003; 24 Chabira, Skanderi, Aissa (bib0010) 2017 Bazi, Melgani, Al-Sharari (bib0230) 2010; 48 Amaral, Silva, Alexandre, Kandaswamy, Santos, Sa (bib0165) 2013 Liu, Gong, Zhao, Li, Jiao (bib0100) 2016; 20 Koloseni, Lampinen, Luukka (bib0200) 2012; 39 Yousif, Ban (bib0040) 2014; 7 Li, Zhou, Lu, Hou, Jiao (bib0020) 2017 Gong, Li, Meng, Miao, Liu (bib0180) 2018; PP Ban, Yousif (bib0035) 2012; 5 Li, Gong, Liu (bib0080) 2015; 12 Storn, Price (bib0155) 1997; 11 Vincent, Larochelle, Lajoie, Bengio, Manzagol (bib0110) 2010; 11 Jiang, Meng, Yu, Lan, Shan, Hauptmann (bib0120) 2014 Meng, Zhao, Lu (bib0130) 2017; 414 Bengio, Louradour, Collobert, Weston (bib0115) 2009 Su, Huang, Hu, Wang (bib0190) 2012 Rosenfield, Fitzpatrick-Lins (bib0225) 1986; 52 Liu, Yang, Zhao, Yang (bib0025) 2017; 9 Dempster, Laird, Rubin (bib0065) 1977 Wang, Wang, Wu, You, Neumann (bib0140) 2017 Chen, Gou, Wang, Li, Jiao (bib0150) 2018; 10 Mathew, Zollanvari, James (bib0240) 2017; PP Su (10.1016/j.asoc.2018.07.021_bib0190) 2012 Holland (10.1016/j.asoc.2018.07.021_bib0205) 1992 Li (10.1016/j.asoc.2018.07.021_bib0020) 2017 Ban (10.1016/j.asoc.2018.07.021_bib0035) 2012; 5 Bengio (10.1016/j.asoc.2018.07.021_bib0115) 2009 Li (10.1016/j.asoc.2018.07.021_bib0080) 2015; 12 Vincent (10.1016/j.asoc.2018.07.021_bib0105) 2008 Jiang (10.1016/j.asoc.2018.07.021_bib0170) 2014 Jiang (10.1016/j.asoc.2018.07.021_bib0120) 2014 Li (10.1016/j.asoc.2018.07.021_bib0005) 2016; 46 Muhuri (10.1016/j.asoc.2018.07.021_bib0045) 2017; 14 Liu (10.1016/j.asoc.2018.07.021_bib0100) 2016; 20 Kennedy (10.1016/j.asoc.2018.07.021_bib0210) 1995 Dempster (10.1016/j.asoc.2018.07.021_bib0065) 1977 Li (10.1016/j.asoc.2018.07.021_bib0185) 2017 Bengio (10.1016/j.asoc.2018.07.021_bib0160) 2009 Avendano (10.1016/j.asoc.2018.07.021_bib0050) 2015 Krinidis (10.1016/j.asoc.2018.07.021_bib0075) 2010; 19 Gao (10.1016/j.asoc.2018.07.021_bib0095) 2016; 10 Mathew (10.1016/j.asoc.2018.07.021_bib0240) 2017; PP Ghosh (10.1016/j.asoc.2018.07.021_bib0070) 2011; 181 Amaral (10.1016/j.asoc.2018.07.021_bib0165) 2013 Moser (10.1016/j.asoc.2018.07.021_bib0235) 2006; 44 Sangineto (10.1016/j.asoc.2018.07.021_bib0145) 2017; PP Ghosh (10.1016/j.asoc.2018.07.021_bib0195) 2012; 42 Rosin (10.1016/j.asoc.2018.07.021_bib0220) 2003; 24 Bazi (10.1016/j.asoc.2018.07.021_bib0230) 2010; 48 Kittler (10.1016/j.asoc.2018.07.021_bib0060) 1986; 19 Vesterstrom (10.1016/j.asoc.2018.07.021_bib0215) 2013 Vincent (10.1016/j.asoc.2018.07.021_bib0110) 2010; 11 Liu (10.1016/j.asoc.2018.07.021_bib0025) 2017; 9 Meng (10.1016/j.asoc.2018.07.021_bib0130) 2017; 414 Gong (10.1016/j.asoc.2018.07.021_bib0180) 2018; PP Gong (10.1016/j.asoc.2018.07.021_bib0015) 2016; 27 Chen (10.1016/j.asoc.2018.07.021_bib0030) 2017 Chen (10.1016/j.asoc.2018.07.021_bib0150) 2018; 10 Wang (10.1016/j.asoc.2018.07.021_bib0140) 2017 Zhao (10.1016/j.asoc.2018.07.021_bib0175) 2015 Jiang (10.1016/j.asoc.2018.07.021_bib0125) 2015 Koloseni (10.1016/j.asoc.2018.07.021_bib0200) 2012; 39 Rosenfield (10.1016/j.asoc.2018.07.021_bib0225) 1986; 52 Ban (10.1016/j.asoc.2018.07.021_bib0085) 2016 Bruzzone (10.1016/j.asoc.2018.07.021_bib0055) 2002; 11 Lin (10.1016/j.asoc.2018.07.021_bib0135) 2018; 40 Storn (10.1016/j.asoc.2018.07.021_bib0155) 1997; 11 Yousif (10.1016/j.asoc.2018.07.021_bib0040) 2014; 7 Chabira (10.1016/j.asoc.2018.07.021_bib0010) 2017 Del Frate (10.1016/j.asoc.2018.07.021_bib0090) 2008; 1 |
| References_xml | – volume: 9 start-page: 1135 year: 2017 ident: bib0025 article-title: A novel method of unsupervised change detection using multi-temporal PolSAR images publication-title: Remote Sens. – start-page: 1 year: 2017 end-page: 5 ident: bib0010 article-title: Unsupervised change detection from multitemporal SAR images based on a detail preserving approach and a robust threshold estimation publication-title: Proceedings of International Conference on Electrical Engineering – Boumerdes – start-page: 1 year: 1977 end-page: 38 ident: bib0065 article-title: Maximum likelihood from incomplete data via the EM algorithm publication-title: J. R. Stat. Soc. – volume: 10 start-page: 110 year: 2018 ident: bib0150 article-title: Classification of PolSAR images using multilayer autoencoders and a self-paced learning approach publication-title: Remote Sens. – volume: 7 start-page: 4288 year: 2014 end-page: 4300 ident: bib0040 article-title: Improving SAR-based urban change detection by combining MAP-MRF classifier and nonlocal means similarity weights publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – year: 2016 ident: bib0085 article-title: Change Detection Techniques: A Review – start-page: 1942 year: 1995 end-page: 1948 ident: bib0210 article-title: Particle swarm optimization publication-title: Proceedings of IEEE International Conference on Neural Networks, vol. 4 – volume: 52 start-page: 223 year: 1986 end-page: 227 ident: bib0225 article-title: A coefficient of agreement as a measure of thematic classification accuracy publication-title: Photogramm. Eng. Remote Sens. – volume: 1 start-page: 87 year: 2008 end-page: 97 ident: bib0090 article-title: Monitoring urban land cover in Rome, Italy, and its changes by single-polarization multitemporal SAR images publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – start-page: 2110 year: 2017 end-page: 2116 ident: bib0185 article-title: Self-paced convolutional neural networks publication-title: Proceedings of the International Joint Conference on Artificial Intelligence – start-page: 2611 year: 2012 end-page: 2615 ident: bib0190 article-title: Binarization algorithm based on differential evolution algorithm for gray images publication-title: Proceedings of International Conference on Fuzzy Systems and Knowledge Discovery – volume: 46 start-page: 767 year: 2016 end-page: 777 ident: bib0005 article-title: A multiobjective fuzzy clustering method for change detection in SAR images publication-title: Appl. Soft Comput. – volume: 19 start-page: 1328 year: 2010 end-page: 1337 ident: bib0075 article-title: A robust fuzzy local information C-means clustering algorithm publication-title: IEEE Trans. Image Process. – volume: 48 start-page: 3178 year: 2010 end-page: 3187 ident: bib0230 article-title: Unsupervised change detection in multispectral remotely sensed imagery with level set methods publication-title: IEEE Trans. Geosci. Remote Sens. – volume: 20 start-page: 4645 year: 2016 end-page: 4657 ident: bib0100 article-title: Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images publication-title: Soft Comput. – start-page: 450 year: 2017 end-page: 457 ident: bib0030 article-title: Differential evolution algorithm with learning selection strategy for SAR image change detection publication-title: Proceedings of Evolutionary Computation – volume: PP year: 2018 ident: bib0180 article-title: Decomposition-based evolutionary multi-objective optimization to self-paced learning publication-title: IEEE Trans. Evol. Comput. – volume: 11 start-page: 452 year: 2002 end-page: 466 ident: bib0055 article-title: An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images publication-title: IEEE Trans. Image Process. – volume: 27 start-page: 125 year: 2016 ident: bib0015 article-title: Change detection in synthetic aperture radar image based on deep neural networks publication-title: IEEE Trans. Neural Netw. Learn. Syst. – volume: 12 start-page: 582 year: 2015 end-page: 586 ident: bib0080 article-title: A local statistical fuzzy active contour model for change detection publication-title: IEEE Geosci. Remote Sens. Lett. – volume: 19 start-page: 41 year: 1986 end-page: 47 ident: bib0060 article-title: Minimum error thresholding publication-title: Pattern Recognit. – start-page: 114 year: 2013 end-page: 120 ident: bib0165 article-title: Using different cost functions to train stacked auto-encoders publication-title: Proceedings of Mexican International Conference on Artificial Intelligence – start-page: 547 year: 2014 end-page: 556 ident: bib0170 article-title: Easy samples first: self-paced reranking for zero-example multimedia search publication-title: Proceedings of ACM International Conference on Multimedia – volume: 11 start-page: 3371 year: 2010 end-page: 3408 ident: bib0110 article-title: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion publication-title: J. Mach. Learn. Res. – start-page: 2078 year: 2014 end-page: 2086 ident: bib0120 article-title: Self-paced learning with diversity publication-title: Proceedings of Advances in Neural Information Processing Systems – volume: 5 start-page: 1087 year: 2012 end-page: 1094 ident: bib0035 article-title: Multitemporal spaceborne SAR data for urban change detection in China publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. – volume: 14 start-page: 2340 year: 2017 end-page: 2344 ident: bib0045 article-title: Seasonal snow cover change detection over the Indian Himalayas using polarimetric SAR images publication-title: IEEE Geosci. Remote Sens. Lett. – start-page: 1096 year: 2008 end-page: 1103 ident: bib0105 article-title: Extracting and composing robust features with denoising autoencoders publication-title: Proceedings of International Conference on Machine Learning – volume: 414 start-page: 319 year: 2017 end-page: 328 ident: bib0130 article-title: A theoretical understanding of self-paced learning publication-title: Inf. Sci. – volume: 40 start-page: 7 year: 2018 end-page: 19 ident: bib0135 article-title: Active self-paced learning for cost-effective and progressive face identification publication-title: IEEE Trans. Pattern Anal. Mach Intell. – volume: 39 start-page: 10564 year: 2012 end-page: 10570 ident: bib0200 article-title: Optimized distance metrics for differential evolution based nearest prototype classifier publication-title: Expert Syst. Appl. – start-page: 3090 year: 2017 end-page: 3096 ident: bib0020 article-title: Change detection in synthetic aperture radar images based on log-mean operator and stacked auto-encoder publication-title: Proceedings of IEEE International Geoscience and Remote Sensing Symposium – start-page: 1980 year: 2013 end-page: 1987 ident: bib0215 article-title: A comparative study of differential evolution publication-title: Proceedings of Evolutionary Computation – start-page: 2694 year: 2015 end-page: 2700 ident: bib0125 article-title: Self-paced curriculum learning publication-title: Proceedings of AAAI Conference on Artificial Intelligence, vol. 2 – volume: 181 start-page: 699 year: 2011 end-page: 715 ident: bib0070 article-title: Fuzzy clustering algorithms for unsupervised change detection in remote sensing images publication-title: Inf. Sci. – volume: PP start-page: 1 year: 2017 ident: bib0145 article-title: Self paced deep learning for weakly supervised object detection publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – year: 2009 ident: bib0160 article-title: Learning Deep Architectures for AI – year: 1992 ident: bib0205 article-title: Adaptation in Natural and Artificial Systems – volume: 10 start-page: 1931 year: 2016 end-page: 3195 ident: bib0095 article-title: Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine publication-title: J. Appl. Remote Sens. – volume: 44 start-page: 2972 year: 2006 end-page: 2982 ident: bib0235 article-title: Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery publication-title: IEEE Trans. Geosci. Remote Sens. – volume: PP start-page: 1 year: 2017 ident: bib0240 article-title: Edge-aware spatial denoising filtering based on a psychological model of stimulus similarity publication-title: IEEE Access – start-page: 1 year: 2015 end-page: 6 ident: bib0050 article-title: Flood monitoring and change detection based on unsupervised image segmentation and fusion in multitemporal SAR imagery publication-title: Proceedings of International Conference on Electrical Engineering, Computing Science and Automatic Control – volume: 42 start-page: 1613 year: 2012 end-page: 1623 ident: bib0195 article-title: Adaptive differential evolution based design of two-channel quadrature mirror filter banks for sub-band coding and data transmission publication-title: IEEE Trans. Syst. Man Cybern. C – start-page: 41 year: 2009 end-page: 48 ident: bib0115 article-title: Curriculum learning publication-title: Proceedings of Annual International Conference on Machine Learning – start-page: 1394 year: 2017 end-page: 1401 ident: bib0140 article-title: Self-paced cross-modality transfer learning for efficient road segmentation publication-title: Proceedings of IEEE International Conference on Robotics and Automation (ICRA) – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: bib0155 article-title: Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. – volume: 24 start-page: 2345 year: 2003 end-page: 2356 ident: bib0220 article-title: Evaluation of global image thresholding for change detection publication-title: Pattern Recognit. Lett. – start-page: 3196 year: 2015 end-page: 3202 ident: bib0175 article-title: Self-paced learning for matrix factorization publication-title: Proceedings of AAAI Conference on Artificial Intelligence – start-page: 2694 year: 2015 ident: 10.1016/j.asoc.2018.07.021_bib0125 article-title: Self-paced curriculum learning publication-title: Proceedings of AAAI Conference on Artificial Intelligence, vol. 2 – volume: 414 start-page: 319 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0130 article-title: A theoretical understanding of self-paced learning publication-title: Inf. Sci. doi: 10.1016/j.ins.2017.05.043 – start-page: 547 year: 2014 ident: 10.1016/j.asoc.2018.07.021_bib0170 article-title: Easy samples first: self-paced reranking for zero-example multimedia search publication-title: Proceedings of ACM International Conference on Multimedia – start-page: 2110 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0185 article-title: Self-paced convolutional neural networks publication-title: Proceedings of the International Joint Conference on Artificial Intelligence – volume: 48 start-page: 3178 issue: 8 year: 2010 ident: 10.1016/j.asoc.2018.07.021_bib0230 article-title: Unsupervised change detection in multispectral remotely sensed imagery with level set methods publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2010.2045506 – volume: 11 start-page: 452 issue: 4 year: 2002 ident: 10.1016/j.asoc.2018.07.021_bib0055 article-title: An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2002.999678 – volume: 46 start-page: 767 year: 2016 ident: 10.1016/j.asoc.2018.07.021_bib0005 article-title: A multiobjective fuzzy clustering method for change detection in SAR images publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2015.10.044 – start-page: 1 year: 1977 ident: 10.1016/j.asoc.2018.07.021_bib0065 article-title: Maximum likelihood from incomplete data via the EM algorithm publication-title: J. R. Stat. Soc. doi: 10.1111/j.2517-6161.1977.tb01600.x – volume: PP start-page: 1 issue: 99 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0145 article-title: Self paced deep learning for weakly supervised object detection publication-title: IEEE Trans. Pattern Anal. Mach. Intell. – start-page: 2078 year: 2014 ident: 10.1016/j.asoc.2018.07.021_bib0120 article-title: Self-paced learning with diversity publication-title: Proceedings of Advances in Neural Information Processing Systems – volume: 39 start-page: 10564 issue: 12 year: 2012 ident: 10.1016/j.asoc.2018.07.021_bib0200 article-title: Optimized distance metrics for differential evolution based nearest prototype classifier publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2012.02.144 – start-page: 1942 year: 1995 ident: 10.1016/j.asoc.2018.07.021_bib0210 article-title: Particle swarm optimization publication-title: Proceedings of IEEE International Conference on Neural Networks, vol. 4 doi: 10.1109/ICNN.1995.488968 – volume: 20 start-page: 4645 issue: 12 year: 2016 ident: 10.1016/j.asoc.2018.07.021_bib0100 article-title: Difference representation learning using stacked restricted Boltzmann machines for change detection in SAR images publication-title: Soft Comput. doi: 10.1007/s00500-014-1460-0 – volume: 5 start-page: 1087 issue: 4 year: 2012 ident: 10.1016/j.asoc.2018.07.021_bib0035 article-title: Multitemporal spaceborne SAR data for urban change detection in China publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2012.2201135 – start-page: 2611 year: 2012 ident: 10.1016/j.asoc.2018.07.021_bib0190 article-title: Binarization algorithm based on differential evolution algorithm for gray images publication-title: Proceedings of International Conference on Fuzzy Systems and Knowledge Discovery – start-page: 3196 year: 2015 ident: 10.1016/j.asoc.2018.07.021_bib0175 article-title: Self-paced learning for matrix factorization publication-title: Proceedings of AAAI Conference on Artificial Intelligence – start-page: 1980 year: 2013 ident: 10.1016/j.asoc.2018.07.021_bib0215 article-title: A comparative study of differential evolution – volume: 19 start-page: 41 issue: 1 year: 1986 ident: 10.1016/j.asoc.2018.07.021_bib0060 article-title: Minimum error thresholding publication-title: Pattern Recognit. doi: 10.1016/0031-3203(86)90030-0 – start-page: 1394 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0140 article-title: Self-paced cross-modality transfer learning for efficient road segmentation publication-title: Proceedings of IEEE International Conference on Robotics and Automation (ICRA) – volume: 42 start-page: 1613 issue: 6 year: 2012 ident: 10.1016/j.asoc.2018.07.021_bib0195 article-title: Adaptive differential evolution based design of two-channel quadrature mirror filter banks for sub-band coding and data transmission publication-title: IEEE Trans. Syst. Man Cybern. C doi: 10.1109/TSMCC.2012.2212007 – volume: 1 start-page: 87 issue: 2 year: 2008 ident: 10.1016/j.asoc.2018.07.021_bib0090 article-title: Monitoring urban land cover in Rome, Italy, and its changes by single-polarization multitemporal SAR images publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2008.2002221 – volume: 14 start-page: 2340 issue: 12 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0045 article-title: Seasonal snow cover change detection over the Indian Himalayas using polarimetric SAR images publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2017.2764123 – volume: 44 start-page: 2972 issue: 10 year: 2006 ident: 10.1016/j.asoc.2018.07.021_bib0235 article-title: Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery publication-title: IEEE Trans. Geosci. Remote Sens. doi: 10.1109/TGRS.2006.876288 – year: 2016 ident: 10.1016/j.asoc.2018.07.021_bib0085 – year: 2009 ident: 10.1016/j.asoc.2018.07.021_bib0160 – start-page: 114 year: 2013 ident: 10.1016/j.asoc.2018.07.021_bib0165 article-title: Using different cost functions to train stacked auto-encoders publication-title: Proceedings of Mexican International Conference on Artificial Intelligence – volume: 11 start-page: 3371 issue: 12 year: 2010 ident: 10.1016/j.asoc.2018.07.021_bib0110 article-title: Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion publication-title: J. Mach. Learn. Res. – volume: 19 start-page: 1328 issue: 5 year: 2010 ident: 10.1016/j.asoc.2018.07.021_bib0075 article-title: A robust fuzzy local information C-means clustering algorithm publication-title: IEEE Trans. Image Process. doi: 10.1109/TIP.2010.2040763 – volume: 10 start-page: 110 issue: 1 year: 2018 ident: 10.1016/j.asoc.2018.07.021_bib0150 article-title: Classification of PolSAR images using multilayer autoencoders and a self-paced learning approach publication-title: Remote Sens. doi: 10.3390/rs10010110 – year: 1992 ident: 10.1016/j.asoc.2018.07.021_bib0205 – start-page: 1096 year: 2008 ident: 10.1016/j.asoc.2018.07.021_bib0105 article-title: Extracting and composing robust features with denoising autoencoders publication-title: Proceedings of International Conference on Machine Learning – volume: PP start-page: 1 issue: 99 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0240 article-title: Edge-aware spatial denoising filtering based on a psychological model of stimulus similarity publication-title: IEEE Access – volume: 9 start-page: 1135 issue: 11 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0025 article-title: A novel method of unsupervised change detection using multi-temporal PolSAR images publication-title: Remote Sens. doi: 10.3390/rs9111135 – start-page: 41 year: 2009 ident: 10.1016/j.asoc.2018.07.021_bib0115 article-title: Curriculum learning publication-title: Proceedings of Annual International Conference on Machine Learning – volume: PP issue: 99 year: 2018 ident: 10.1016/j.asoc.2018.07.021_bib0180 article-title: Decomposition-based evolutionary multi-objective optimization to self-paced learning publication-title: IEEE Trans. Evol. Comput. – start-page: 1 year: 2015 ident: 10.1016/j.asoc.2018.07.021_bib0050 article-title: Flood monitoring and change detection based on unsupervised image segmentation and fusion in multitemporal SAR imagery publication-title: Proceedings of International Conference on Electrical Engineering, Computing Science and Automatic Control – start-page: 3090 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0020 article-title: Change detection in synthetic aperture radar images based on log-mean operator and stacked auto-encoder publication-title: Proceedings of IEEE International Geoscience and Remote Sensing Symposium – volume: 27 start-page: 125 issue: 1 year: 2016 ident: 10.1016/j.asoc.2018.07.021_bib0015 article-title: Change detection in synthetic aperture radar image based on deep neural networks publication-title: IEEE Trans. Neural Netw. Learn. Syst. doi: 10.1109/TNNLS.2015.2435783 – volume: 52 start-page: 223 issue: 2 year: 1986 ident: 10.1016/j.asoc.2018.07.021_bib0225 article-title: A coefficient of agreement as a measure of thematic classification accuracy publication-title: Photogramm. Eng. Remote Sens. – volume: 181 start-page: 699 issue: 4 year: 2011 ident: 10.1016/j.asoc.2018.07.021_bib0070 article-title: Fuzzy clustering algorithms for unsupervised change detection in remote sensing images publication-title: Inf. Sci. doi: 10.1016/j.ins.2010.10.016 – volume: 12 start-page: 582 issue: 3 year: 2015 ident: 10.1016/j.asoc.2018.07.021_bib0080 article-title: A local statistical fuzzy active contour model for change detection publication-title: IEEE Geosci. Remote Sens. Lett. doi: 10.1109/LGRS.2014.2352264 – start-page: 450 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0030 article-title: Differential evolution algorithm with learning selection strategy for SAR image change detection publication-title: Proceedings of Evolutionary Computation – volume: 7 start-page: 4288 issue: 10 year: 2014 ident: 10.1016/j.asoc.2018.07.021_bib0040 article-title: Improving SAR-based urban change detection by combining MAP-MRF classifier and nonlocal means similarity weights publication-title: IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. doi: 10.1109/JSTARS.2014.2347171 – volume: 40 start-page: 7 issue: 1 year: 2018 ident: 10.1016/j.asoc.2018.07.021_bib0135 article-title: Active self-paced learning for cost-effective and progressive face identification publication-title: IEEE Trans. Pattern Anal. Mach Intell. doi: 10.1109/TPAMI.2017.2652459 – volume: 11 start-page: 341 issue: 4 year: 1997 ident: 10.1016/j.asoc.2018.07.021_bib0155 article-title: Differential evolution – a simple and efficient heuristic for global optimization over continuous spaces publication-title: J. Global Optim. doi: 10.1023/A:1008202821328 – volume: 24 start-page: 2345 issue: 14 year: 2003 ident: 10.1016/j.asoc.2018.07.021_bib0220 article-title: Evaluation of global image thresholding for change detection publication-title: Pattern Recognit. Lett. doi: 10.1016/S0167-8655(03)00060-6 – start-page: 1 year: 2017 ident: 10.1016/j.asoc.2018.07.021_bib0010 article-title: Unsupervised change detection from multitemporal SAR images based on a detail preserving approach and a robust threshold estimation publication-title: Proceedings of International Conference on Electrical Engineering – Boumerdes – volume: 10 start-page: 1931 issue: 4 year: 2016 ident: 10.1016/j.asoc.2018.07.021_bib0095 article-title: Change detection from synthetic aperture radar images based on neighborhood-based ratio and extreme learning machine publication-title: J. Appl. Remote Sens. doi: 10.1117/1.JRS.10.046019 |
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