TY  - JOUR
PY  - 2017//
TI  - Landslide detection using probability regression, a case study of Wenchuan, northwest of Chengdu
JO  - Applied geography
A1  - Chen, Fang
A1  - Yu, Bo
A1  - Xu, Chong
A1  - Li, Bin
SP  - 32
EP  - 40
VL  - 89
IS  - 
N2  - Landslides have become one of the dominant disasters all around the world. Reliable and efficient landslide mapping is playing a significant role in landslide studies. However, to the best of our knowledge, there is little research on detecting multiple landslides simultaneously from images to stimulate practical cases. In this work, we propose a regression model to detect landslides and investigate its applicability in practical cases. It synthesizes contextual, spectral and geometric features. Among the test images, F-measure of landslide detection has a range between 0.771 and 0.998, validating its robustness and high efficiency.<p />  <p>Language: en</p>
LA  - en
SN  - 0143-6228
UR  - http://dx.doi.org/10.1016/j.apgeog.2017.10.001
ID  - ref1
ER  -