Comparison of Different Negative-Sample Acquisition Strategies Considering Sample Representation Forms for Debris Flow Susceptibility Mapping
The lack of reliable negative samples is an important factor limiting the quality of machine learning-based debris flow susceptibility mapping (DFSM).The purpose of this paper is to propose multiple negative-sample acquisition strategies for DFSM considering different sample representation forms.The sample representation forms mainly include a sing