Semantic segmentation of high-resolution remote sensing images based on a class feature attention mechanism fused with Deeplabv3+

MFANet: A Multi-Level Feature Aggregation Network for Semantic Segmentation of Land Cover

(2021) Bingyu Chen et al.   Remote Sensing

High-Resolution Remote Sensing Image Segmentation Framework Based on Attention Mechanism and Adaptive Weighting

(2021) Yifan Liu et al.   ISPRS International Journal of Geo-Information

Semantic segmentation of very high-resolution remote sensing image based on multiple band combinations and patchwise scene analysis

(2020) Zhen Zhang et al.   Journal of Applied Remote Sensing

Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture

(2020) Bing Lu et al.   Remote Sensing

A top-down approach for semantic segmentation of big remote sensing images

(2019) Wadii Boulila   Earth Science Informatics

Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective

(2019) Mohammad D. Hossain 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

Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images

(2019) Jicheng Wang et al.   Remote Sensing

Land-cover classification with high-resolution remote sensing images using transferable deep models

(2019) Xin-Yi Tong et al.   REMOTE SENSING OF ENVIRONMENT

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

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

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network

(2018) Wei Guo et al.   Remote Sensing

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Developments in Landsat Land Cover Classification Methods: A Review

(2017) et al.   Remote Sensing

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

(2017) Hongzhen Wang et al.   Remote Sensing

High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field

(2017) Xiaofeng Sun et al.   ISPRS International Journal of Geo-Information

Hierarchical Conditional Random Fields Model for Semisupervised SAR Image Segmentation

(2015) Peng Zhang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Segment-Based Land Cover Mapping of a Suburban Area—Comparison of High-Resolution Remotely Sensed Datasets Using Classification Trees and Test Field Points

(2011) Leena Matikainen et al.   Remote Sensing

How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

(2010) Guray Erus et al.   PATTERN RECOGNITION LETTERS