A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection
R Srivats, Deepika Roselind Johnson, G Logeswari, R Saimirra, Muskaan Siddiqui, Abhiram Sharma · 2026
Read A multi-modal deep learning framework with GAN-based fusion for enhanced landslide detection by R Srivats, Deepika Roselind Johnson, G Logeswari, R Saimirra, Muskaan Siddiqui, Abhiram Sharma (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/plos-pone-0347324.txt.
Description
R. Srivats and his team fused four known image nets to find landslides in shots from space and drones. One net can miss a faint slide or blur its edge. Bad maps can slow aid when hills fall. The fused net adds a fifth part, a rival pair that sharpens the edge of each slide it finds.
On three test sets, the scores ran from near ninety-four to near ninety-seven per cent. The sets span fine drone shots, mid space shots, and quake slides. The fused net beat each lone net by a clear gap. It also draws map-ready charts fast, fit for use right after a slide.
Catalog record
| CREATOR | R Srivats, Deepika Roselind Johnson, G Logeswari, R Saimirra, Muskaan Siddiqui, Abhiram Sharma |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 118274 |
| LICENSE | CC_BY |
| RIGHTS | CC BY |
| SOURCE | PLOS |