暂无分享,去创建一个
Chen Chen | Jungong Han | Baochang Zhang | Xianbin Cao | Jianzhuang Liu | Xiangbo Su | Jiaxin Gu | J. Han | Jianzhuang Liu | Xianbin Cao | Baochang Zhang | Xiangbo Su | Jiaxin Gu | Chen Chen
[1] Lei Zhang,et al. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising , 2016, IEEE Transactions on Image Processing.
[2] Chein-I Chang,et al. Anomaly detection and classification for hyperspectral imagery , 2002, IEEE Trans. Geosci. Remote. Sens..
[3] Xiaoou Tang,et al. Deep Convolution Networks for Compression Artifacts Reduction , 2016, ArXiv.
[4] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[5] Mingxuan Sun,et al. Dilated Deep Residual Network for Image Denoising , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).
[6] Lu Wang,et al. Land-use scene classification using multi-scale completed local binary patterns , 2015, Signal, Image and Video Processing.
[7] Jan Kautz,et al. Local Laplacian filters: edge-aware image processing with a Laplacian pyramid , 2011, ACM Trans. Graph..
[8] Maggi Kelly,et al. Change detection of built-up land: A framework of combining pixel-based detection and object-based recognition , 2016 .
[9] Jani Lainema,et al. Adaptive deblocking filter , 2003, IEEE Trans. Circuits Syst. Video Technol..
[10] Micah K. Johnson,et al. Multi-scale image harmonization , 2010, ACM Trans. Graph..
[11] George Vosselman,et al. Contextual segment-based classification of airborne laser scanner data , 2017 .
[12] Michael Cramer,et al. The DGPF-Test on Digital Airborne Camera Evaluation - Over- view and Test Design , 2010 .
[13] Yann LeCun,et al. Learning Fast Approximations of Sparse Coding , 2010, ICML.
[14] Qing Ling,et al. D3: Deep Dual-Domain Based Fast Restoration of JPEG-Compressed Images , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Karen O. Egiazarian,et al. Pointwise Shape-Adaptive DCT for High-Quality Denoising and Deblocking of Grayscale and Color Images , 2007, IEEE Transactions on Image Processing.
[16] Xiaoou Tang,et al. Learning a Deep Convolutional Network for Image Super-Resolution , 2014, ECCV.
[17] Luca Benini,et al. CAS-CNN: A deep convolutional neural network for image compression artifact suppression , 2016, 2017 International Joint Conference on Neural Networks (IJCNN).
[18] Jian Sun,et al. Identity Mappings in Deep Residual Networks , 2016, ECCV.
[19] Jae Lim,et al. Reduction Of Blocking Effects In Image Coding , 1984 .
[20] Hong Yan,et al. Blocking artifacts suppression in block-coded images using overcomplete wavelet representation , 2004, IEEE Transactions on Circuits and Systems for Video Technology.
[21] Changhoon Yim,et al. Quality Assessment of Deblocked Images , 2011, IEEE Transactions on Image Processing.
[22] Xianming Liu,et al. Data-driven sparsity-based restoration of JPEG-compressed images in dual transform-pixel domain , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Hongyang Chao,et al. One-To-Many Network for Visually Pleasing Compression Artifacts Reduction , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Alberto Del Bimbo,et al. Deep Generative Adversarial Compression Artifact Removal , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[25] Antonio J. Plaza,et al. A Novel Semi-Supervised Method for Obtaining Finer Resolution Urban Extents Exploiting Coarser Resolution Maps , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[26] Xiaoqiang Lu,et al. Remote Sensing Image Scene Classification: Benchmark and State of the Art , 2017, Proceedings of the IEEE.
[27] 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.
[28] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[29] Davide Cozzolino,et al. CNN-based pansharpening of multi-resolution remote-sensing images , 2017, 2017 Joint Urban Remote Sensing Event (JURSE).
[30] Qian Du,et al. Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[31] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[32] Lei Guo,et al. A coarse-to-fine model for airport detection from remote sensing images using target-oriented visual saliency and CRF , 2015, Neurocomputing.
[33] James R. Bergen,et al. Pyramid-based texture analysis/synthesis , 1995, Proceedings., International Conference on Image Processing.
[34] Xueming Qian,et al. Semantic Annotation of High-Resolution Satellite Images via Weakly Supervised Learning , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[35] Pavel Zemcík,et al. Compression Artifacts Removal Using Convolutional Neural Networks , 2016, J. WSCG.
[36] Junwei Han,et al. Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[37] Lei Zhang,et al. FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising , 2017, IEEE Transactions on Image Processing.
[38] Qian Du,et al. Fusing Local and Global Features for High-Resolution Scene Classification , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[39] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[40] Jocelyn Chanussot,et al. A Critical Comparison Among Pansharpening Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[41] Zhou Wang,et al. Why is image quality assessment so difficult? , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[42] Luc Van Gool,et al. A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution , 2014, ACCV.
[43] Jun Zhou,et al. Adaptive non-local means filtering for image deblocking , 2011, 2011 4th International Congress on Image and Signal Processing.
[44] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[45] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[46] Christian Ledig,et al. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Feiping Nie,et al. Revisiting Co-Saliency Detection: A Novel Approach Based on Two-Stage Multi-View Spectral Rotation Co-clustering , 2017, IEEE Transactions on Image Processing.
[48] Davide Cozzolino,et al. Target-Adaptive CNN-Based Pansharpening , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[49] William A. Pearlman,et al. A new, fast, and efficient image codec based on set partitioning in hierarchical trees , 1996, IEEE Trans. Circuits Syst. Video Technol..
[50] Edward H. Adelson,et al. The Laplacian Pyramid as a Compact Image Code , 1983, IEEE Trans. Commun..
[51] Wei Yu,et al. On learning optimized reaction diffusion processes for effective image restoration , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Junwei Han,et al. A Survey on Object Detection in Optical Remote Sensing Images , 2016, ArXiv.
[53] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[54] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Hongyang Chao,et al. Building Dual-Domain Representations for Compression Artifacts Reduction , 2016, ECCV.
[56] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[57] Sebastian Nowozin,et al. Loss-Specific Training of Non-Parametric Image Restoration Models: A New State of the Art , 2012, ECCV.
[58] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] David G. Long,et al. Image reconstruction and enhanced resolution imaging from irregular samples , 2001, IEEE Trans. Geosci. Remote. Sens..