Assessment of GF3 Full-Polarimetric SAR Data for Dryland Crop Classification with Different Polarimetric Decomposition Methods. [PDF]
Sensors (Basel), 2022 Wang M +6 more
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Superpixel-based graph convolutional neural network for polarimetric synthetic aperture radar image classification. [PDF]
Sci RepImani M.
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Recent Advances in Deep Learning for SAR Images: Overview of Methods, Challenges, and Future Directions. [PDF]
Sensors (Basel)Peter E, Ang LM, Seng KP, Srivastava S.
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Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction [PDF]
The annotation of polarimetric synthetic aperture radar (PolSAR) images is a labor-intensive and time-consuming process. Therefore, classifying PolSAR images with limited labels is a challenging task in remote sensing domain.
Hong, Danfeng +4 more
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MSMTRIU-Net: Deep Learning-Based Method for Identifying Rice Cultivation Areas Using Multi-Source and Multi-Temporal Remote Sensing Images. [PDF]
Sensors (Basel)Wang M, Ma X, Zheng T, Su Z.
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Small-Target Detection Algorithm Based on Improved YOLOv11n. [PDF]
Sensors (Basel)Zeng K, Yu W, Qin X, Long S.
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A Review on PolSAR Decompositions for Feature Extraction. [PDF]
J ImagingKarachristos K +2 more
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Coastal Wetland Classification with GF-3 Polarimetric SAR Imagery by Using Object-Oriented Random Forest Algorithm. [PDF]
Sensors (Basel), 2021 Zhang X, Xu J, Chen Y, Xu K, Wang D.
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Correlated Decision Fusion Accompanied with Quality Information on a Multi-Band Pixel Basis for Land Cover Classification. [PDF]
J ImagingPapadopoulos S +2 more
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A Dual-Polarimetric SAR Ship Detection Dataset and a Memory-Augmented Autoencoder-Based Detection Method. [PDF]
Sensors (Basel), 2021 Hu Y, Li Y, Pan Z.
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