SAR RFI suppression for extended scene using interferometric data via joint low-rank and sparse optimization

H Yang, C Chen, S Chen, F Xi… - IEEE Geoscience and …, 2020 - ieeexplore.ieee.org
Radio frequency interference (RFI) can significantly pollute synthetic aperture radar (SAR)
data and images, which is also harmful to SAR interferometry (InSAR) for retrieving …

High-rankness regularized semi-supervised deep metric learning for remote sensing imagery

J Kang, R Fernandez-Beltran, Z Ye, X Tong, P Ghamisi… - Remote Sensing, 2020 - mdpi.com
Deep metric learning has recently received special attention in the field of remote sensing
(RS) scene characterization, owing to its prominent capabilities for modeling distances …

Snow Depth Inversion in Forest Areas from Sentinel-1 Data Based on Phase Deviation Correction

Y Li, X Zhao, Q Zhao - Remote Sensing, 2022 - mdpi.com
At present, snow depth inversion based on active microwave remote sensing is concerned
essentially with areas having a relatively simple underlying surface. The existence of forests …

[引用][C] High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery

R Fernandez-Beltran, Z Ye, X Tong, P Ghamisi, A Plaza - 2020 - MDPI