AI RESEARCH
Feature Extraction in the Remote Sensing Data Value Chain: A Systematic Review of Methods and Applications
arXiv CS.CV
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ArXi:2510.18935v3 Announce Type: replace Earth observation involves collecting, analyzing, and processing an ever-growing mass of data. This planetary data is crucial for addressing relevant societal, economic, and environmental challenges, ranging from environmental monitoring to urban planning and disaster management. However, its high dimensionality entails significant feature redundancy and computational overhead, limiting the effectiveness of machine learning models.