Semantic segmentation of PolSAR image data using advanced deep learning model
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Semantic segmentation of PolSAR image data using advanced deep learning model
Authors
Keywords
-
Journal
Scientific Reports
Volume 11, Issue 1, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-07-28
DOI
10.1038/s41598-021-94422-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Computationally Efficient Hybrid Framework for Polarimetric Calibration of Quad‐Pol SAR Data
- (2021) Abhisek Maiti et al. Earth and Space Science
- Polarimetric calibration of spaceborne and airborne multifrequency SAR data for scattering-based characterization of manmade and natural features
- (2021) Shashi Kumar et al. ADVANCES IN SPACE RESEARCH
- A Method for Estimating and Validating Polarimetric Distortion Parameters Using Corner Reflectors and Its Applicability Analysis
- (2020) Fan Wang et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Comparison of Machine Learning Methods Applied to SAR Images for Forest Classification in Mediterranean Areas
- (2020) Alessandro Lapini et al. Remote Sensing
- Multiscale building segmentation based on deep learning for remote sensing RGB images from different sensors
- (2020) Mehdi Khoshboresh-Masouleh et al. Journal of Applied Remote Sensing
- An Optimal Approach for Land-Use / Land-Cover Mapping by Integration and Fusion of Multispectral Landsat OLI Images: Case Study in Baghdad, Iraq
- (2020) Hayder Dibs et al. WATER AIR AND SOIL POLLUTION
- PolInSAR Coherence and Entropy‐Based Hybrid Decomposition Model
- (2020) Shahid Shuja Shafai et al. Earth and Space Science
- PolInSAR decorrelation-based decomposition modelling of spaceborne multifrequency SAR data
- (2020) Bhanu Prakash M E et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Orthorectified Polar Format Algorithm for Generalized Spotlight SAR Imaging With DEM
- (2020) Ruizhi Hu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
- (2019) Yonghao Xu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- A Comparative Assessment of Machine-Learning Techniques for Land Use and Land Cover Classification of the Brazilian Tropical Savanna Using ALOS-2/PALSAR-2 Polarimetric Images
- (2019) Flávio F. Camargo et al. 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
- Identification of Stable Backscattering Features, Suitable for Maintaining Absolute Synthetic Aperture Radar (SAR) Radiometric Calibration of Sentinel-1
- (2018) Jintao Yang et al. Remote Sensing
- Design and Implementation of a Novel Polarimetric Active Radar Calibrator for Gaofen-3 SAR
- (2018) Liang Li et al. SENSORS
- Comparative Analysis of Polarimetric SAR Calibration Methods
- (2018) Yoon Jung et al. Remote Sensing
- Generation of Complete SAR Geometric Distortion Maps Based on DEM and Neighbor Gradient Algorithm
- (2018) Xiaohong Chen et al. Applied Sciences-Basel
- Deep Supervised and Contractive Neural Network for SAR Image Classification
- (2017) Jie Geng et al. IEEE TRANSACTIONS ON GEOSCIENCE AND 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
- Fully Convolutional Networks for Semantic Segmentation
- (2017) Evan Shelhamer et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- An Efficient Polarimetric SAR Calibration Algorithm Using Corner Reflectors
- (2017) Guangde Sun et al. CANADIAN JOURNAL OF REMOTE SENSING
- POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information
- (2016) Fang Liu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Superresolution Land-Cover Change Detection Method Using Remotely Sensed Images With Different Spatial Resolutions
- (2016) Xiaodong Li et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Target Classification Using the Deep Convolutional Networks for SAR Images
- (2016) Sizhe Chen et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Change Detection in Synthetic Aperture Radar Images Based on Deep Neural Networks
- (2016) Maoguo Gong et al. IEEE Transactions on Neural Networks and Learning Systems
- 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
- Particle Filter Sample Texton Feature for SAR Image Classification
- (2015) Chu He et al. IEEE Geoscience and Remote Sensing Letters
- Target Detection Based on Random Forest Metric Learning
- (2015) Yanni Dong et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Correcting Distortion of Polarimetric SAR Data Induced by Ionospheric Scintillation
- (2015) Jun Su Kim et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Calibration of SAR Polarimetric Images by Means of a Covariance Matching Approach
- (2015) Alberto Villa et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Gabor Feature-Based Collaborative Representation for Hyperspectral Imagery Classification
- (2015) Sen Jia et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Hyperspectral image classification via contextual deep learning
- (2015) Xiaorui Ma et al. EURASIP Journal on Image and Video Processing
- Polarimetric Scattering Properties of Landslides in Forested Areas and the Dependence on the Local Incidence Angle
- (2015) Takashi Shibayama et al. Remote Sensing
- Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks
- (2015) Qi Lv et al. Journal of Sensors
- SAR Image Categorization Using Parametric and Nonparametric Approaches Within a Dual Tree CWT
- (2014) Peter Planinsic et al. IEEE Geoscience and Remote Sensing Letters
- Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks
- (2014) Xueyun Chen et al. IEEE Geoscience and Remote Sensing Letters
- Quantum Support Vector Machine for Big Data Classification
- (2014) Patrick Rebentrost et al. PHYSICAL REVIEW LETTERS
- Simulating SAR geometric distortions and predicting Persistent Scatterer densities for ERS-1/2 and ENVISAT C-band SAR and InSAR applications: Nationwide feasibility assessment to monitor the landmass of Great Britain with SAR imagery
- (2014) Francesca Cigna et al. REMOTE SENSING OF ENVIRONMENT
- High-Precision Assessment and Calibration of Polarimetric RADARSAT-2 SAR Using Transponder Measurements
- (2012) Ridha Touzi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- General Four-Component Scattering Power Decomposition With Unitary Transformation of Coherency Matrix
- (2012) Gulab Singh et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Four-Component Scattering Power Decomposition With Rotation of Coherency Matrix
- (2011) Yoshio Yamaguchi et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- A Supervised Classification Method Based on Conditional Random Fields With Multiscale Region Connection Calculus Model for SAR Image
- (2010) Xin Su et al. IEEE Geoscience and Remote Sensing Letters
- Multilevel Local Pattern Histogram for SAR Image Classification
- (2010) Dengxin Dai et al. IEEE Geoscience and Remote Sensing Letters
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExplorePublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More