Earth and Planetary Sciences
Synthetic Aperture Radar
100%
Peru
69%
Japan
58%
Remote Sensing
46%
Machine Learning
35%
Indonesia
32%
Damage Assessment
30%
Radar Imagery
30%
Satellite Imagery
29%
PALSAR
22%
Field Survey
21%
Satellite Image
20%
Numerical Modeling
19%
Seismic Source
19%
ALOS
17%
Tsunami Wave
16%
Tsunami Event
15%
Tide Gauge
14%
Philippines
14%
Spatial Distribution
13%
Land Cover
10%
Change Detection
10%
Disaster Management
10%
Earthquake Epicenter
10%
State of the Art
10%
Thailand
9%
Typhoon Haiyan 2013
9%
Mexico
9%
Farmland
9%
Colombia
9%
Tsunami Hazard Assessment
9%
Real Time
9%
Earthquake Damage
9%
TerraSAR-X
8%
Syrian Arab Republic
7%
Geographic Information System
6%
Natural Disaster
6%
Tohoku Earthquake 2011
6%
Debris Flow
6%
Multisensor Fusion
6%
Radar Signature
6%
Port
5%
Image Analysis
5%
Engineering
Synthetic Aperture Radar
61%
Synthetic Aperture Radar Images
42%
High Resolution
33%
Deep Learning Method
32%
Learning System
27%
Japan
24%
Emergency Response
18%
Damage Classification
16%
Fragility Curves
14%
Damage Assessment
10%
Target Area
9%
Earth Observation
8%
Damage Level
7%
Sensing Imagery
7%
Image Intensity
7%
Disaster Response
7%
Mathematical Model
6%
Radar Sensor
6%
Transfer Learning
6%
Convolutional Neural Network
6%
Machine Learning Method
5%
Computer Science
Deep Learning Method
22%
Synthetic Aperture Radar
22%
Deep Learning Model
19%
Synthetic Aperture Radar Images
16%
Training Sample
14%
Remote Sensing Image
7%
Transfer Learning
7%
remote sensing imagery
7%
Machine Learning
7%
Learning System
7%
Urban Environment
6%
Scale Disaster
5%
