GF-3 Polarimetric Data Quality Assessment Based on Automatic Extraction of Distributed Targets

GF-3 Polarimetric Data Quality Assessment Based on Automatic Extraction of Distributed Targets

With the needs of continuous data quality assessment for massive Gaofen-3 (GF-3) polarimetric data, an automatic and efficient quality evaluation method is urgently needed. In this article, an automated polarimetric SAR data quality assessment method is conducted using a classic convolution neural n...

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Bibliographic Details
Main Authors: Songtao Shangguan, Xiaolan Qiu, Kun Fu, Bin Lei, Wen Hong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Calibration
convolutional neural network (CNN)
Gaofen-3 (GF-3)
polarimetric distortion
PolSAR data quality assessment
Online Access:https://ieeexplore.ieee.org/document/9151306/

Internet

https://ieeexplore.ieee.org/document/9151306/

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