Application and challenge of deep learning model in remote sensing image segmentation
Remote sensing image segmentation is a crucial task in the field of remote sensing,significantly impacting areas such as land cover classification,resource monitoring,and environmental assessment.This paper summarizes the current state of applications of deep learning in remote sensing image segmentation and provides an in-depth analysis of the challenges faced in this domain.A suite of strategies is proposed to address these challenges,with the aim of enhancing the accuracy,efficiency,and interpretability of remote sensing image segmentation through deep learning.The paper predicts the future prospects of deep learning applications in the field of remote sensing image segmentation.With technological advancements,the application of deep learning in remote sensing image segmentation is expected to expand further.
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