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Dual Path Attention Network (DPANet) for Intelligent Identification of Wenchuan Landslides.

Authors :
Wang, Xiao
Wang, Di
Sun, Tiegang
Dong, Jianhui
Xu, Luting
Li, Weile
Li, Shaoda
Ran, Peilian
Ao, Jinxi
Zou, Yulan
Wang, Jing
Zeng, Xinnian
Source :
Remote Sensing; Nov2023, Vol. 15 Issue 21, p5213, 23p
Publication Year :
2023

Abstract

Currently, the application of remote sensing technology in landslide identification and investigation is an important research direction in the field of landslides. To address the errors arising from the inaccurate extraction of texture and location information in landslide intelligent recognition, we developed a new network, the dual path attention network (DPANet), and performed experiments in a typical alpine canyon area (Wenchuan County). The results show that the new network recognizes landslide areas with an overall accuracy (OA) and pixel accuracy (PA) of 0.93 and 0.87, respectively, constituting an overall improvement of 4% and 18% compared to the base pyramid scene parsing network (PSPNet). We applied our knowledge of the landslide image features to other areas in the upper reaches of the Minjiang River to enrich the landslide database for this region. Our evaluation of the results shows that the proposed network framework has good robustness and can accurately identify some complex landslides, providing an excellent contribution to the intelligent recognition of landslides. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20724292
Volume :
15
Issue :
21
Database :
Complementary Index
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
173568278
Full Text :
https://doi.org/10.3390/rs15215213