reviewTop 1% cited
A review of deep learning methods for semantic segmentation of remote sensing imagery
Expert Systems with Applications · 2020 · Vol. 169 · pp. 114417–114417
Xiaohui Yuan✉(University of North Texas)Jianfang Shi(University of North Texas)Lichuan Gu(University of North Texas)
Remote-Sensing Image ClassificationAutomated Road and Building ExtractionAdvanced Image and Video Retrieval TechniquesDeep learningComputer scienceField (mathematics)SegmentationArtificial intelligenceHyperspectral imagingSatellite imageryPoint cloudKey (lock)Transfer of learning
Citations
692
FWCI
57.66
field-weighted impact
References
163
Percentile
100%
vs. same field & year
Citations per year
References
The Pascal Visual Object Classes (VOC) Challenge
International Journal of Computer Vision · 2009 · 19,127 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
ImageNet Large Scale Visual Recognition Challenge
International Journal of Computer Vision · 2015 · 39,683 citations
SLIC Superpixels Compared to State-of-the-Art Superpixel Methods
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 8,985 citations
Guided Image Filtering
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 5,295 citations
ImageNet classification with deep convolutional neural networks
Communications of the ACM · 2017 · 75,550 citations
Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach
IEEE Transactions on Geoscience and Remote Sensing · 2016 · 1,164 citations
Fully Convolutional Networks for Semantic Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016 · 10,957 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.
