Super-Resolution Analysis for Landfill Waste Classification

arXiv:2404.01790v1 Announce Type: cross
Abstract: Illegal landfills are a critical issue due to their environmental, economic, and public health impacts. This study leverages aerial imagery for environmental crime monitoring. While advances in artificial intelligence and computer vision hold promise, the challenge lies in training models with high-resolution literature datasets and adapting them to open-access low-resolution images. Considering the substantial quality differences and limited annotation, this research explores the adaptability of models across these domains. Motivated by the necessity for a …

abstract advances aerial analysis artificial artificial intelligence arxiv challenge classification computer computer vision crime cs.cv cs.lg datasets economic environmental health impacts intelligence issue lies literature monitoring public public health resolution study them training training models type vision waste