Amirmohammad Sahebzadeh
Biographic Data
| ID | 9612389 |
|---|---|
| NAME | Amirmohammad Sahebzadeh |
| GIVEN NAMES | Amirmohammad |
| FAMILY NAME | Sahebzadeh |
| SIGNATURE | SAHEBZADEH A |
| AFFILIATIONS | Department of Civil Engineering Sharif University of Technology Iran |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Deep learning‐based classification of earthquake‐damaged buildings using terrestrial images
Rapid, reliable assessment of building damage immediately after an earthquake is essential for prioritising search and rescue, allocating scarce resources, and establishing early situational awareness. This study develops and evaluates a deep learning classifier that uses terrestrial images—which provide critical ground‐level detail often missed by aerial or satellite views—to categorise buildings as not damaged, damaged, or collapsed. Trained on…
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Deep learning‐based classification of earthquake‐damaged buildings using terrestrial images
Rapid, reliable assessment of building damage immediately after an earthquake is essential for prioritising search and rescue, allocating scarce resources, and establishing early situational awareness. This study develops and evaluates a deep learning classifier that uses terrestrial images—which provide critical ground‐level detail often missed by aerial or satellite views—to categorise buildings as not damaged, damaged, or collapsed. Trained on…
Aerial imagery (1 work) · Deep learning (1 work) · Disaster Management and Resilience (1 work) · Poison control (1 work) · Remote-Sensing Image Classification (1 work) · Satellite imagery (1 work) · Seismology and Earthquake Studies (1 work) · Situation awareness (1 work) · Triage (1 work)