A review of deep learning methods for semantic segmentation of remote sensing imagery

A deep residual learning serial segmentation network for extracting buildings from remote sensing imagery

(2020) Jiayun Liu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

(2020) Thorsten Hoeser et al.   Remote Sensing

Hyperspectral Images Classification Based on Dense Convolutional Networks with Spectral-Wise Attention Mechanism

(2019) Bei Fang et al.   Remote Sensing

Divide-and-Conquer Dual-Architecture Convolutional Neural Network for Classification of Hyperspectral Images

(2019) Jie Feng et al.   Remote Sensing

Research on road extraction of remote sensing image based on convolutional neural network

(2019) Yuantao Jiang   EURASIP Journal on Image and Video Processing

A Novel Method of Hyperspectral Data Classification Based on Transfer Learning and Deep Belief Network

(2019) Ke Li et al.   Applied Sciences-Basel

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

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

A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks

(2019) Hongmin Gao et al.   SENSORS

Distance transform regression for spatially-aware deep semantic segmentation

(2019) Nicolas Audebert et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Hyperspectral imagery classification based on semi-supervised 3-D deep neural network and adaptive band selection

(2019) Akrem Sellami et al.   EXPERT SYSTEMS WITH APPLICATIONS

Automated residential building detection from airborne LiDAR data with deep neural networks

(2018) Zixiang Zhou et al.   ADVANCED ENGINEERING INFORMATICS

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

Semantic Segmentation of Aerial Images With Shuffling Convolutional Neural Networks

(2018) Kaiqiang Chen et al.   IEEE Geoscience and Remote Sensing Letters

Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM

(2018) Weiwei Sun et al.   IEEE Geoscience and Remote Sensing Letters

Symmetrical Dense-Shortcut Deep Fully Convolutional Networks for Semantic Segmentation of Very-High-Resolution Remote Sensing Images

(2018) Guanzhou Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Patch-Sorted Deep Feature Learning for High Resolution SAR Image Classification

(2018) Zhongle Ren et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SAR Image Classification via Deep Recurrent Encoding Neural Networks

(2018) Jie Geng 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

Algorithms for semantic segmentation of multispectral remote sensing imagery using deep learning

(2018) Ronald Kemker et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Fusion of images and point clouds for the semantic segmentation of large-scale 3D scenes based on deep learning

(2018) Rui Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A multi-scale fully convolutional network for semantic labeling of 3D point clouds

(2018) Mohammed Yousefhussien et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Hyperspectral image classification via a random patches network

(2018) Yonghao Xu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data

(2018) Ying Sun et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images

(2018) Michele Volpi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification with an edge: Improving semantic image segmentation with boundary detection

(2018) D. Marmanis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Beyond RGB: Very high resolution urban remote sensing with multimodal deep networks

(2018) Nicolas Audebert et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep convolutional recurrent neural network with transfer learning for hyperspectral image classification

(2018) Bing Liu et al.   Journal of Applied Remote Sensing

UFCN: a fully convolutional neural network for road extraction in RGB imagery acquired by remote sensing from an unmanned aerial vehicle

(2018) Ramesh Kestur et al.   Journal of Applied Remote Sensing

Methods and datasets on semantic segmentation: A review

(2018) Hongshan Yu et al.   NEUROCOMPUTING

A regularized ensemble framework of deep learning for cancer detection from multi-class, imbalanced training data

(2018) Xiaohui Yuan et al.   PATTERN RECOGNITION

Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks

(2018) Guangming Wu et al.   Remote Sensing

Siamese-GAN: Learning Invariant Representations for Aerial Vehicle Image Categorization

(2018) Laila Bashmal et al.   Remote Sensing

Land Cover Segmentation of Airborne LiDAR Data Using Stochastic Atrous Network

(2018) Hasan Arief et al.   Remote Sensing

Building Extraction in Very High Resolution Remote Sensing Imagery Using Deep Learning and Guided Filters

(2018) Yongyang Xu et al.   Remote Sensing

Urban Land-Use Classification From Photographs

(2018) Fang Fang et al.   IEEE Geoscience and Remote Sensing Letters

Improvements in sparse non-negative matrix factorization for hyperspectral unmixing algorithms

(2018) Zuoyu Zhang et al.   Journal of Applied Remote Sensing

High-Resolution Aerial Imagery Semantic Labeling with Dense Pyramid Network

(2018) Xuran Pan et al.   SENSORS

Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery

(2018) Peter Fischer et al.   ISPRS International Journal of Geo-Information

Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data

(2017) Nataliia Kussul et al.   IEEE Geoscience and Remote Sensing Letters

FusionNet: Edge Aware Deep Convolutional Networks for Semantic Segmentation of Remote Sensing Harbor Images

(2017) Dongcai Cheng et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Self-Taught Feature Learning for Hyperspectral Image Classification

(2017) Ronald Kemker et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

High-Resolution Aerial Image Labeling With Convolutional Neural Networks

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks

(2017) Rasha Alshehhi et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A new deep convolutional neural network for fast hyperspectral image classification

(2017) M.E. Paoletti et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Semantic labeling in very high resolution images via a self-cascaded convolutional neural network

(2017) Yongcheng Liu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

MugNet: Deep learning for hyperspectral image classification using limited samples

(2017) Bin Pan 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

Convolutional neural networks for hyperspectral image classification

(2017) Shiqi Yu et al.   NEUROCOMPUTING

Gated Convolutional Neural Network for Semantic Segmentation in High-Resolution Images

(2017) Hongzhen Wang et al.   Remote Sensing

Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

(2017) Ying Li et al.   Remote Sensing

Hourglass-ShapeNetwork Based Semantic Segmentation for High Resolution Aerial Imagery

(2017) Yu Liu et al.   Remote Sensing

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

(2017) Gang Fu 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

A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data

(2016) Pedram Ghamisi et al.   IEEE Geoscience and Remote Sensing Letters

Adaptive Coherency Matrix Estimation for Polarimetric SAR Imagery Based on Local Heterogeneity Coefficients

(2016) Shuai Yang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Semisupervised classification for hyperspectral image based on multi-decision labeling and deep feature learning

(2016) Xiaorui Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Learning multiscale and deep representations for classifying remotely sensed imagery

(2016) Wenzhi Zhao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

(2016) Martin Längkvist 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

High-Resolution SAR Image Classification via Deep Convolutional Autoencoders

(2015) Jie Geng et al.   IEEE Geoscience and Remote Sensing Letters

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

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

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

Guided Image Filtering

(2012) Kaiming He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Automatic Urban Water-Body Detection and Segmentation From Sparse ALSM Data via Spatially Constrained Model-Driven Clustering

(2010) Xiaohui Yuan et al.   IEEE Geoscience and Remote Sensing Letters

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION