Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition
Conducting landslide recognition research holds notable practical significance for disaster management. In response to the challenges posed by noise, information redundancy, and geometric distortions in single-orbit SAR imagery during landslide recognition, this study proposes a dual-polarization SA...
Main Authors: | Bin Pan, Xianjian Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/15/23/5619 |
Similar Items
-
An Interpretation Approach of Ascending–Descending SAR Data for Landslide Identification
by: Tianhe Ren, et al.
Published: (2022-03-01) -
Assessment of landslide susceptibility in the Huangshui River Basin based on catastrophe theory
by: Bin LI, et al.
Published: (2023-12-01) -
Automatic landslide identification by Dual Graph Convolutional Network and GoogLeNet model-a case study for Xinjiang province, China
by: Shiwei Ma, et al.
Published: (2023-09-01) -
Design of a Dual-Polarization Dual-Wideband Planar Antenna
by: A’isya Nur Aulia Yusuf, et al.
Published: (2022-03-01) -
A survey on households’ resilience to landslide hazard in Murree hills of Pakistan
by: Said Qasim, et al.
Published: (2021-08-01)