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Landslide Segmentation with U-Net: Evaluating Different Sampling Methods
  and Patch Sizes

Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes

13 July 2020
L. P. Soares
H. C. Dias
C. Grohmann
ArXivPDFHTML

Papers citing "Landslide Segmentation with U-Net: Evaluating Different Sampling Methods and Patch Sizes"

2 / 2 papers shown
Title
TransLandSeg: A Transfer Learning Approach for Landslide Semantic
  Segmentation Based on Vision Foundation Model
TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model
Changhong Hou
Junchuan Yu
Daqing Ge
Liu Yang
Laidian Xi
Yunxuan Pang
Yi Wen
25
0
0
15 Mar 2024
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
1