Quality analysis and improvement of polarimetric synthetic aperture radar (SAR) images from the GaoFen-3 satellite using the Amazon rainforest as an example-Reference-Cited by-同舟云学术

Quality analysis and improvement of polarimetric synthetic aperture radar (SAR) images from the GaoFen-3 satellite using the Amazon rainforest as an example

Published:2020-12-30 Issue:6 Volume:42 Page:2131-2154
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Sun Guangde¹²^ORCID,Li Zhen²,Huang Lei²^ORCID,Chen Quan²,Zhang Ping²

Affiliation:

1. College of Space Information, Space Engineering University , Beijing, China

2. Key Lab of Digital Earth, Aerospace Information Research Institute,Chinese Academy of Sciences , Beijing, China

Funder

the Key Deployment

Key Research and Development Program of Hainan Province

Key Deployment Program of AIRCAS

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1851798

Reference37 articles.

1. Orientation angle preserving a posteriori polarimetric SAR calibration

2. A new method for a posteriori polarimetric SAR calibration

3. Ship Detection in Gaofen-3 SAR Images Based on Sea Clutter Distribution Analysis and Deep Convolutional Neural Network

4. Polarimetric Calibration and Quality Assessment of the GF-3 Satellite Images

5. A review of target decomposition theorems in radar polarimetry

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