Classification of polarimetric SAR images using compact convolutional neural networks
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Classification of polarimetric SAR images using compact convolutional neural networks
Authors
Keywords
-
Journal
GIScience & Remote Sensing
Volume -, Issue -, Pages 1-20
Publisher
Informa UK Limited
Online
2020-12-23
DOI
10.1080/15481603.2020.1853948
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Adversarial Reconstruction-Classification Networks for PolSAR Image Classification
- (2019) Yanqiao Chen et al. Remote Sensing
- Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data
- (2019) Ya’nan Zhou et al. GIScience & Remote Sensing
- Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks
- (2019) Mete Ahishali et al. Remote Sensing
- PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features
- (2019) Xinzheng Zhang et al. Remote Sensing
- PolSAR Feature Extraction Via Tensor Embedding Framework for Land Cover Classification
- (2019) Bo Ren et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- PolSAR image classification via multimodal sparse representation-based feature fusion
- (2018) Bo Ren et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Multi-Pixel Simultaneous Classification of PolSAR Image Using Convolutional Neural Networks
- (2018) Lei Wang et al. SENSORS
- Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach
- (2018) Wenshuai Chen et al. Remote Sensing
- Polarimetric Convolutional Network for PolSAR Image Classification
- (2018) Xu Liu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Assessing the suitability of data from Sentinel-1A and 2A for crop classification
- (2017) Rei Sonobe et al. GIScience & Remote Sensing
- Polarimetric SAR Feature Extraction With Neighborhood Preservation-Based Deep Learning
- (2017) Hongying Liu et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
- (2017) Shui-Hua Wang et al. Journal of Real-Time Image Processing
- Dual-Branch Deep Convolution Neural Network for Polarimetric SAR Image Classification
- (2017) Fei Gao et al. Applied Sciences-Basel
- Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks
- (2016) Yu Zhou et al. IEEE Geoscience and Remote Sensing Letters
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Semi-Supervised Learning for Ill-Posed Polarimetric SAR Classification
- (2014) Stefan Uhlmann et al. Remote Sensing
- Integrating Color Features in Polarimetric SAR Image Classification
- (2013) Stefan Uhlmann et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach
- (2012) Serkan Kiranyaz et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty
- (2011) Peter Yu et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- RADARSAT-2 and Coastal Applications: Surface Wind, Waterline, and Intertidal Flat Roughness
- (2010) Wooil M. Moon et al. PROCEEDINGS OF THE IEEE
- Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests
- (2010) Tongyuan Zou et al. EURASIP Journal on Advances in Signal Processing
- Fusion of PolSAR and PolInSAR data for land cover classification
- (2009) M. Shimoni et al. International Journal of Applied Earth Observation and Geoinformation
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now