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Improving Landslide Detection on SAR Data through Deep Learning

Improving Landslide Detection on SAR Data through Deep Learning

3 May 2021
Lorenzo Nava
O. Monserrat
F. Catani
ArXivPDFHTML

Papers citing "Improving Landslide Detection on SAR Data through Deep Learning"

5 / 5 papers shown
Title
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating
  Interferometric SAR and RGB Data
M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and RGB Data
Matthew J Allen
Francisco Dorr
Joseph A. Gallego-Mejia
Laura Martínez-Ferrer
Anna Jungbluth
Freddie Kalaitzis
Raúl Ramos-Pollán
46
3
0
06 Jun 2024
Convolution and Attention Mixer for Synthetic Aperture Radar Image
  Change Detection
Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection
Haopeng Zhang
Zijing Lin
Feng Gao
Junyu Dong
Q. Du
Hengchao Li
14
16
0
21 Sep 2023
SAR-based landslide classification pretraining leads to better
  segmentation
SAR-based landslide classification pretraining leads to better segmentation
V. Boehm
W. J. Leong
Ragini Bal Mahesh
Ioannis Prapas
Edoardo Nemni
F. Kalaitzis
Siddha Ganju
Raúl Ramos-Pollán
24
2
0
17 Nov 2022
Deep Learning for Rapid Landslide Detection using Synthetic Aperture
  Radar (SAR) Datacubes
Deep Learning for Rapid Landslide Detection using Synthetic Aperture Radar (SAR) Datacubes
V. Boehm
W. J. Leong
Ragini Bal Mahesh
Ioannis Prapas
Edoardo Nemni
F. Kalaitzis
Siddha Ganju
Raúl Ramos-Pollán
18
7
0
05 Nov 2022
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for
  Landslide Detection
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection
O. Ghorbanzadeh
Yonghao Xu
Pedram Ghamis
Michael K Kopp
David P. Kreil
42
93
0
01 Jun 2022
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