A Research on Landslides Automatic Extraction Model Based on the Improved Mask R-CNN
Landslides are the most common and destructive secondary geological hazards caused by earthquakes. It is difficult to extract landslides automatically based on remote sensing data, which is import for the scenario of disaster emergency rescue. The literature review showed that the current landslides...
Main Authors: | Peng Liu, Yongming Wei, Qinjun Wang, Jingjing Xie, Yu Chen, Zhichao Li, Hongying Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/10/3/168 |
Similar Items
-
Landslide Extraction Using Mask R-CNN with Background-Enhancement Method
by: Ruilin Yang, et al.
Published: (2022-05-01) -
Mask R-CNN–Based Landslide Hazard Identification for 22.6 Extreme Rainfall Induced Landslides in the Beijiang River Basin, China
by: Zhibo Wu, et al.
Published: (2023-10-01) -
Study of the Automatic Recognition of Landslides by Using InSAR Images and the Improved Mask R-CNN Model in the Eastern Tibet Plateau
by: Yang Liu, et al.
Published: (2022-07-01) -
Fast Seismic Landslide Detection Based on Improved Mask R-CNN
by: Rao Fu, et al.
Published: (2022-08-01) -
Enhance the Accuracy of Landslide Detection in UAV Images Using an Improved Mask R-CNN Model: A Case Study of Sanming, China
by: Lu Yun, et al.
Published: (2023-04-01)