Combining Deep Semantic Segmentation Network and Graph Convolutional Neural Network for Semantic Segmentation of Remote Sensing Imagery

Remote Sensing Image Semantic Segmentation Based on Edge Information Guidance

(2020) Chu He et al.   Remote Sensing

Incorporating Deep Features into GEOBIA Paradigm for Remote Sensing Imagery Classification: A Patch-Based Approach

(2020) Bo Liu et al.   Remote Sensing

Multi-Scale Residual Deep Network for Semantic Segmentation of Buildings with Regularizer of Shape Representation

(2020) Chengyi Wang et al.   Remote Sensing

Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning

(2020) Yansheng Li et al.   REMOTE SENSING OF ENVIRONMENT

Image retrieval from remote sensing big data: A survey

(2020) Yansheng Li et al.   Information Fusion

SCAttNet: Semantic Segmentation Network With Spatial and Channel Attention Mechanism for High-Resolution Remote Sensing Images

(2020) Haifeng Li et al.   IEEE Geoscience and Remote Sensing Letters

Error-Tolerant Deep Learning for Remote Sensing Image Scene Classification

(2020) Yansheng Li et al.   IEEE Transactions on Cybernetics

Ontologies to interpret remote sensing images: why do we need them?

(2019) Damien Arvor et al.   GIScience & Remote Sensing

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

(2019) Michael Wurm et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semantic referee: A neural-symbolic framework for enhancing geospatial semantic segmentation

(2019) Marjan Alirezaie et al.   Semantic Web

Large-Scale Remote Sensing Image Retrieval by Deep Hashing Neural Networks

(2018) Yansheng Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Learning Source-Invariant Deep Hashing Convolutional Neural Networks for Cross-Source Remote Sensing Image Retrieval

(2018) Yansheng Li et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

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

Semantic Labeling of High Resolution Aerial Imagery and LiDAR Data with Fine Segmentation Network

(2018) Xuran Pan et al.   Remote Sensing

A Benchmark Dataset for Performance Evaluation of Multi-Label Remote Sensing Image Retrieval

(2018) Zhenfeng Shao et al.   Remote Sensing

Deep learning for remotely sensed data

(2018) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep networks under scene-level supervision for multi-class geospatial object detection from remote sensing images

(2018) Yansheng Li et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

(2017) John E. Ball et al.   Journal of Applied Remote Sensing

Learning Dual Multi-Scale Manifold Ranking for Semantic Segmentation of High-Resolution Images

(2017) Mi Zhang et al.   Remote Sensing

An Object-Based Semantic Classification Method for High Resolution Remote Sensing Imagery Using Ontology

(2017) Haiyan Gu et al.   Remote Sensing

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Unsupervised Multilayer Feature Learning for Satellite Image Scene Classification

(2016) Yansheng Li et al.   IEEE Geoscience and Remote Sensing Letters

Supervised remote sensing image segmentation using boosted convolutional neural networks

(2016) Essa Basaeed et al.   KNOWLEDGE-BASED SYSTEMS

Deep learning

(2015) Yann LeCun et al.   NATURE

Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods

(2013) Gustavo Camps-Valls et al.   IEEE SIGNAL PROCESSING MAGAZINE

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

The Graph Neural Network Model

(2008) F. Scarselli et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS