In the Search for Optimal Multi-view Learning Models for Crop Classification with Global Remote Sensing Data

arXiv:2403.16582v1 Announce Type: new
Abstract: Crop classification is of critical importance due to its role in studying crop pattern changes, resource management, and carbon sequestration. When employing data-driven techniques for its prediction, utilizing various temporal data sources is necessary. Deep learning models have proven to be effective for this task by mapping time series data to high-level representation for prediction. However, they face substantial challenges when dealing with multiple input patterns. The literature offers limited guidance for Multi-View Learning (MVL) …

abstract arxiv carbon classification cs.ai cs.cv cs.lg data data-driven data sources deep learning global importance management prediction resource management role search sensing studying temporal type view