Towards a Multi-Temporal Deep Learning Approach for Mapping Urban Fabric Using Sentinel 2 Images
暂无分享,去创建一个
Anne Puissant | Imane Sebari | Lamiae El Mendili | Mehdi Chougrad | A. Puissant | L. Mendili | I. Sebari | Mehdi Chougrad
[1] Bertrand Le Saux,et al. Beyond RGB: Very High Resolution Urban Remote Sensing With Multimodal Deep Networks , 2017, ISPRS Journal of Photogrammetry and Remote Sensing.
[2] Peijun Du,et al. A review of supervised object-based land-cover image classification , 2017 .
[3] Menglong Yan,et al. IoU-Adaptive Deformable R-CNN: Make Full Use of IoU for Multi-Class Object Detection in Remote Sensing Imagery , 2019, Remote. Sens..
[4] Xueliang Zhang,et al. Deep learning in remote sensing applications: A meta-analysis and review , 2019, ISPRS Journal of Photogrammetry and Remote Sensing.
[5] C. Woodcock,et al. Assessment of spectral, polarimetric, temporal, and spatial dimensions for urban and peri-urban land cover classification using Landsat and SAR data , 2012 .
[6] Doreen S. Boyd,et al. Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach , 2016, Remote. Sens..
[7] Yinghai Ke,et al. Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery , 2018, Sensors.
[8] Ricardo da S. Torres,et al. Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks , 2019, IEEE Geoscience and Remote Sensing Letters.
[9] David Morin,et al. Operational High Resolution Land Cover Map Production at the Country Scale Using Satellite Image Time Series , 2017, Remote. Sens..
[10] Ruggero G. Pensa,et al. $M^3\text{Fusion}$: A Deep Learning Architecture for Multiscale Multimodal Multitemporal Satellite Data Fusion , 2018, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[11] J. Paruelo,et al. Land cover classification in the Argentine Pampas using multi-temporal Landsat TM data , 2003 .
[12] Germain Forestier,et al. Deep learning for time series classification: a review , 2018, Data Mining and Knowledge Discovery.
[13] Gérard Dedieu,et al. Assessing the robustness of Random Forests to map land cover with high resolution satellite image time series over large areas , 2016 .
[14] José García Rodríguez,et al. A survey on deep learning techniques for image and video semantic segmentation , 2018, Appl. Soft Comput..
[15] Marc Rußwurm,et al. Multi-Temporal Land Cover Classification with Sequential Recurrent Encoders , 2018, ISPRS Int. J. Geo Inf..
[16] Gui-Song Xia,et al. Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery , 2015, Remote. Sens..
[17] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Nicolas Lachiche,et al. Classification et évolution des tissus urbains à partir de données vectorielles , 2011 .
[19] Michael S. Bernstein,et al. ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.
[20] Joanne C. White,et al. Optical remotely sensed time series data for land cover classification: A review , 2016 .
[21] M. Hulley. The urban heat island effect: causes and potential solutions , 2012 .
[22] Lei Hao,et al. Land Cover Classification Using Integrated Spectral, Temporal, and Spatial Features Derived from Remotely Sensed Images , 2018, Remote. Sens..
[23] Derek T. Anderson,et al. Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community , 2017 .
[24] Tom Fawcett,et al. An introduction to ROC analysis , 2006, Pattern Recognit. Lett..
[25] Gang Fu,et al. Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network , 2017, Remote. Sens..
[26] Dino Ienco,et al. Land Cover Classification via Multitemporal Spatial Data by Deep Recurrent Neural Networks , 2017, IEEE Geoscience and Remote Sensing Letters.
[27] Hugo Carrão,et al. Contribution of multispectral and multitemporal information from MODIS images to land cover classification , 2008 .
[28] Geoffrey I. Webb,et al. Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series , 2018, Remote. Sens..
[29] E. Irwin,et al. The evolution of urban sprawl: Evidence of spatial heterogeneity and increasing land fragmentation , 2007, Proceedings of the National Academy of Sciences.