Automatic Detection of Landslides Based on Machine Learning Framework

Lightweight Attention-Guided YOLO With Level Set Layer for Landslide Detection From Optical Satellite Images

“…Piralilou et al [13] combined the object-based image analysis (OBIA) with three kinds of machine learning algorithm to detect landslide, and they found that the OBIA reduced the image noise influence and improved the landslide detection accuracy. Meghanadh et al [14] used the RF to detect landslide, and result showed that the RF achieved a satisfactory performance in terms of landslide detection. Machine learning typically requires feature engineering, which is the process of selecting and extracting relevant features from raw data for use as input to the machine learning algorithm.…”