A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images
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Maoguo Gong | Jia Liu | Puzhao Zhang | Kai Qin | Jia Liu | Maoguo Gong | Kai Qin | Puzhao Zhang
[1] Gabriele Moser,et al. Conditional Copulas for Change Detection in Heterogeneous Remote Sensing Images , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[2] Francesca Bovolo,et al. Supervised change detection in VHR images using contextual information and support vector machines , 2013, Int. J. Appl. Earth Obs. Geoinformation.
[3] J. R. Jensen,et al. Inland wetland change detection using aircraft MSS data , 1987 .
[4] Gabriele Moser,et al. Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[5] Jean-Yves Tourneret,et al. Change Detection in Multisensor SAR Images Using Bivariate Gamma Distributions , 2008, IEEE Transactions on Image Processing.
[6] Thomas Hofmann,et al. Greedy Layer-Wise Training of Deep Networks , 2007 .
[7] Allan Aasbjerg Nielsen,et al. The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi- and Hyperspectral Data , 2007, IEEE Transactions on Image Processing.
[8] Jordi Inglada,et al. A New Statistical Similarity Measure for Change Detection in Multitemporal SAR Images and Its Extension to Multiscale Change Analysis , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[9] Matthieu Cord,et al. Learning Deep Hierarchical Visual Feature Coding , 2014, IEEE Transactions on Neural Networks and Learning Systems.
[10] Yu Cao,et al. A Neighborhood-Based Ratio Approach for Change Detection in SAR Images , 2012, IEEE Geoscience and Remote Sensing Letters.
[11] Shiyong Cui,et al. Building Change Detection Based on Satellite Stereo Imagery and Digital Surface Models , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[12] Chun-Xia Zhang,et al. A sparse-response deep belief network based on rate distortion theory , 2014, Pattern Recognit..
[13] Henri Maître,et al. A new statistical model for Markovian classification of urban areas in high-resolution SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[14] Lei Guo,et al. Object Detection in Optical Remote Sensing Images Based on Weakly Supervised Learning and High-Level Feature Learning , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[15] Lorenzo Bruzzone,et al. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[16] Lorenzo Bruzzone,et al. Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[17] Maoguo Gong,et al. A multiobjective fuzzy clustering method for change detection in SAR images , 2016, Appl. Soft Comput..
[18] Francesca Bovolo,et al. A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images , 2010, IEEE Transactions on Image Processing.
[19] Francesca Bovolo,et al. A detail-preserving scale-driven approach to change detection in multitemporal SAR images , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[20] Jean-Marie Nicolas,et al. MIMOSA: An Automatic Change Detection Method for SAR Time Series , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[21] Maoguo Gong,et al. A Multiobjective Sparse Feature Learning Model for Deep Neural Networks , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[22] Francesca Bovolo,et al. A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[23] Pascal Vincent,et al. Representation Learning: A Review and New Perspectives , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[25] Maoguo Gong,et al. Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[26] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[27] Yew-Soon Ong,et al. Deep transfer learning for classification of time-delayed Gaussian networks , 2015, Signal Process..
[28] Jean-Marie Nicolas,et al. Application of log-cumulants to the detection of spatiotemporal discontinuities in multitemporal SAR images , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[29] Jean-Yves Tourneret,et al. Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[30] Ashbindu Singh,et al. Review Article Digital change detection techniques using remotely-sensed data , 1989 .
[31] Xiaoqiang Lu,et al. Scene Recognition by Manifold Regularized Deep Learning Architecture , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[32] Honglak Lee,et al. Sparse deep belief net model for visual area V2 , 2007, NIPS.
[33] Lorenzo Bruzzone,et al. Integration of Gibbs Markov Random Field and Hopfield-Type Neural Networks for Unsupervised Change Detection in Remotely Sensed Multitemporal Images , 2013, IEEE Transactions on Image Processing.
[34] Amandine Robin,et al. An A-Contrario Approach for Subpixel Change Detection in Satellite Imagery , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] Zheng Niu,et al. Object-based land cover change detection for cross-sensor images , 2013 .
[36] Gonzalo Pajares,et al. A Hopfield Neural Network for Image Change Detection , 2006, IEEE Transactions on Neural Networks.
[37] Lorenzo Bruzzone,et al. An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images , 2002, IEEE Trans. Image Process..
[38] Gunter Menz,et al. Monitoring Land-Use Change in Nakuru (Kenya) Using Multi-Sensor Satellite Data , 2012 .
[39] Farid Melgani,et al. Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[40] Maoguo Gong,et al. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering , 2012, IEEE Transactions on Image Processing.
[41] José Luis Rojo-Álvarez,et al. Kernel-Based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[42] Quan Pan,et al. Change Detection in Heterogeneous Remote Sensing Images Based on Multidimensional Evidential Reasoning , 2014, IEEE Geoscience and Remote Sensing Letters.
[43] Jean-Yves Tourneret,et al. A New Multivariate Statistical Model for Change Detection in Images Acquired by Homogeneous and Heterogeneous Sensors , 2015, IEEE Transactions on Image Processing.
[44] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[45] Sarath Chandar. Multilingual Deep Learning , 2013 .
[46] Badrinath Roysam,et al. Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.
[47] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[48] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[49] Maoguo Gong,et al. Fuzzy C-Means Clustering With Local Information and Kernel Metric for Image Segmentation , 2013, IEEE Transactions on Image Processing.
[50] Maoguo Gong,et al. Fuzzy Clustering With a Modified MRF Energy Function for Change Detection in Synthetic Aperture Radar Images , 2014, IEEE Transactions on Fuzzy Systems.
[51] Dale J. Prediger,et al. Coefficient Kappa: Some Uses, Misuses, and Alternatives , 1981 .
[52] Xuelong Li,et al. Blind Image Quality Assessment via Deep Learning , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[53] Pascal Vincent,et al. Contractive Auto-Encoders: Explicit Invariance During Feature Extraction , 2011, ICML.