A Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX

A Universal Landslide Detection Method in Optical Remote Sensing Images Based on Improved YOLOX

Using deep learning-based object detection algorithms for landslide hazards detection is very popular and effective. However, most existing algorithms are designed for landslides in a specific geographical range. This paper constructs a set of landslide detection models YOLOX-Pro, based on the impro...

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Bibliographic Details
Main Authors: Heyi Hou, Mingxia Chen, Yongbo Tie, Weile Li
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Remote Sensing
Subjects:
landslide detection
optical remote sensing image
deep learning
attention mechanism
unmanned aerial vehicle
YOLOX
Online Access:https://www.mdpi.com/2072-4292/14/19/4939

Internet

https://www.mdpi.com/2072-4292/14/19/4939

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