标题
An improved U-Net method for the semantic segmentation of remote sensing images
作者
关键词
-
出版物
APPLIED INTELLIGENCE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-07-03
DOI
10.1007/s10489-021-02542-9
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery
- (2021) Song Ouyang et al. Remote Sensing
- MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover
- (2021) Bingyu Chen et al. Remote Sensing
- Semantic image segmentation with shared decomposition convolution and boundary reinforcement structure
- (2020) Hegui Zhu et al. APPLIED INTELLIGENCE
- ResUNet-a: A deep learning framework for semantic segmentation of remotely sensed data
- (2020) Foivos I. Diakogiannis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-scale Adaptive Feature Fusion Network for Semantic Segmentation in Remote Sensing Images
- (2020) Ronghua Shang et al. Remote Sensing
- Building Extraction Based on U-Net with an Attention Block and Multiple Losses
- (2020) Mingqiang Guo et al. Remote Sensing
- HRCNet: High-Resolution Context Extraction Network for Semantic Segmentation of Remote Sensing Images
- (2020) Zhiyong Xu et al. Remote Sensing
- Survey on semantic segmentation using deep learning techniques
- (2019) Fahad Lateef et al. NEUROCOMPUTING
- Deep learning in remote sensing applications: A meta-analysis and review
- (2019) Lei Ma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Semantic Segmentation of Urban Buildings from VHR Remote Sensing Imagery Using a Deep Convolutional Neural Network
- (2019) Yaning Yi et al. Remote Sensing
- MultiResUNet : Rethinking the U-Net architecture for multimodal biomedical image segmentation
- (2019) Nabil Ibtehaz et al. NEURAL NETWORKS
- A survey on deep learning techniques for image and video semantic segmentation
- (2018) Alberto Garcia-Garcia et al. APPLIED SOFT COMPUTING
- Road Extraction by Deep Residual U-Net
- (2018) Zhengxin Zhang et al. IEEE Geoscience and Remote Sensing Letters
- H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
- (2018) Xiaomeng Li et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
- (2018) Liang-Chieh Chen et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Classification with an edge: Improving semantic image segmentation with boundary detection
- (2018) D. Marmanis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Methods and datasets on semantic segmentation: A review
- (2018) Hongshan Yu et al. NEUROCOMPUTING
- Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)
- (2018) Han Xie et al. APPLIED INTELLIGENCE
- Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images
- (2017) Nicolas Audebert et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
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