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A Enhanced DeepLabv3+ for PolSAR image classification

2023 4th International Conference on Computer Engineering and Application (ICCEA), 2023
Fang Zhang   +5 more
openaire   +1 more source

Unsupervised PolSAR image classification based on ensemble partitioning

2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
This work introduces an unsupervised classification framework based on ensemble partitioning for polarimetric synthetic aperture radar (PolSAR) data, which can automatically determine the number of categories. First, the PolSAR image is divided into patches by an over-segmentation method.
Xiaoshuang Yin   +4 more
openaire   +1 more source

PolSAR-SSN: An End-to-End Superpixel Sampling Network for PolSAR Image Classification

IEEE Geoscience and Remote Sensing Letters, 2022
Lei Wang   +5 more
openaire   +1 more source

Trusted Polarimetric Feature Fusion for Polsar Image Classification

2023 SAR in Big Data Era (BIGSARDATA), 2023
Fangzhou Han, Lamei Zhang, Hongwei Dong
openaire   +1 more source

PolSAR Image Classification Based on Deep Features

2022
Ping Han, Lunan Men, Zetao Chen
openaire   +1 more source

Polsar Image Classification with Transformer

IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
Yunpeng Zhang   +6 more
openaire   +1 more source

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee   +2 more
exaly  

Ultrafast machine vision with 2D material neural network image sensors

Nature, 2020
Lukas Mennel   +2 more
exaly  

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