Road Extraction by Using Atrous Spatial Pyramid Pooling Integrated Encoder-Decoder Network and Structural Similarity Loss
暂无分享,去创建一个
Hao He | Shuyang Wang | Dongfang Yang | Shicheng Wang | Yongfei Li | Shuyang Wang | Shicheng Wang | Dongfang Yang | Hao He | Yongfei Li
[1] Stanislav S. Makhanov,et al. A Family of Quadratic Snakes for Road Extraction , 2007, Asian Conference on Computer Vision.
[2] Leonardo Vanneschi,et al. Improved Fully Convolutional Network with Conditional Random Fields for Building Extraction , 2018, Remote. Sens..
[3] C. Heipke,et al. Road junction extraction from high‐resolution aerial imagery , 2008 .
[4] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] He Hao,et al. An road extraction method for remote sensing image based on Encoder-Decoder network , 2019 .
[7] Keiichi Uchimura,et al. Automatic road extraction based on cross detection in suburb , 2004, IS&T/SPIE Electronic Imaging.
[8] Peter Wonka,et al. Road Network Extraction and Intersection Detection From Aerial Images by Tracking Road Footprints , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[9] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[10] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..
[11] Han Jiang,et al. Fully convolutional networks for building and road extraction: Preliminary results , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[12] Christian Heipke,et al. EMPIRICAL EVALUATION OF AUTOMATICALLY EXTRACTED ROAD AXES , 1998 .
[13] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[14] Geoffrey E. Hinton,et al. Machine Learning for Aerial Image Labeling , 2013 .
[15] Rama Chellappa,et al. Edge Detection and Linear Feature Extraction Using a 2-D Random Field Model , 1989, IEEE Trans. Pattern Anal. Mach. Intell..
[16] Sebastian Ruder,et al. An overview of gradient descent optimization algorithms , 2016, Vestnik komp'iuternykh i informatsionnykh tekhnologii.
[17] Carsten Steger,et al. An Unbiased Detector of Curvilinear Structures , 1998, IEEE Trans. Pattern Anal. Mach. Intell..
[18] Geoffrey E. Hinton,et al. Learning to Detect Roads in High-Resolution Aerial Images , 2010, ECCV.
[19] Pascal Fua,et al. Beyond the Pixel-Wise Loss for Topology-Aware Delineation , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[20] George Papandreou,et al. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation , 2018, ECCV.
[21] Kjell Brunnström,et al. Applicability of Existing Objective Metrics of Perceptual Quality for Adaptive Video Streaming , 2016, IQSP.
[22] Vladimir Iglovikov,et al. Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition , 2017, ArXiv.
[23] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[24] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[25] Wei Lee Woon,et al. Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks , 2017 .
[26] Jan Dirk Wegner,et al. A Higher-Order CRF Model for Road Network Extraction , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Shiming Xiang,et al. Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network , 2017, IEEE Transactions on Geoscience and Remote Sensing.
[28] Peerapon Vateekul,et al. Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields , 2017, Remote. Sens..
[29] Jun Wang,et al. Road network extraction: a neural-dynamic framework based on deep learning and a finite state machine , 2015 .
[30] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[31] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[32] Zulin Wang,et al. Road Structure Refined CNN for Road Extraction in Aerial Image , 2017, IEEE Geoscience and Remote Sensing Letters.
[33] George Papandreou,et al. Rethinking Atrous Convolution for Semantic Image Segmentation , 2017, ArXiv.
[34] Qingjie Liu,et al. Road Extraction by Deep Residual U-Net , 2017, IEEE Geoscience and Remote Sensing Letters.
[35] Sepp Hochreiter,et al. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs) , 2015, ICLR.