IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) image classification is a critical application of remote sensing image interpretation. Most of the early algorithms that use hand-crafted features to divide the image into various scattering categories have ...
Yixin Zuo +3 more
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Active Learning for PolSAR image classification
, 2013 One of the biggest problems, when supervised learning techniques are used, for training classifier, is the necessity of a big amount of labelled samples, including the problems and costs of carry out the labelling of the prototypes needed. SAR images are difficult to label due to the speckle noise, which increases the normal effort needed for labelling
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PolSAR-SFCGN: An End-to-End PolSAR Superpixel Fully Convolutional Generation Network
Remote SensingPolarimetric Synthetic Aperture Radar (PolSAR) image classification is one of the most important applications in remote sensing. The impressive superpixel generation approaches can improve the efficiency of the subsequent classification task and restrain
Mengxuan Zhang +6 more
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Marine Oil Spill Detection from SAR Images Based on Attention U-Net Model Using Polarimetric and Wind Speed Information. [PDF]
Int J Environ Res Public Health, 2022 Chen Y, Wang Z.
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PolSAR Image Classification by Introducing POA and HA Variances [PDF]
, 2023 Zeying Lan, Yang Liu, Jianhua He, Xin Hu
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PCCN: Polarimetric Contexture Convolutional Network for PolSAR Image Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPolarimetric synthetic aperture radar (PolSAR) can acquire full-polarization information, which is the solid foundation for target scattering mechanism interpretation and utilization. Meanwhile, PolSAR image resolution is usually lower than the synthetic
Lin-Yu Dai, Ming-Dian Li, Si-Wei Chen
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Self-Trained Deep Forest with Limited Samples for Urban Impervious Surface Area Extraction in Arid Area Using Multispectral and PolSAR Imageries. [PDF]
Sensors (Basel), 2022 Liu X +4 more
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Blind Source Separation in Polarimetric SAR Interferometry
, 2016 International audiencePolarimetric incoherent target decomposition aims in access-ing physical parameters of illuminated scatters through the analysis of target coherence or covariance matrix.
Pralon, Leandro, Vasile, Gabriel
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A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering [PDF]
, 2019 Xingli Qin +4 more
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A PolSAR Image Segmentation Algorithm Based on Scattering Characteristics and the Revised Wishart Distance. [PDF]
Sensors (Basel), 2018 Yi H, Yang J, Li P, Shi L, Lang F.
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