Multiresolution Airport Detection via Hierarchical Reinforcement Learning Saliency Model.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(2017)

引用 28|浏览32
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摘要
Traditional airport detection methods usually utilize geometric characteristics to locate targets, but they are not suitable for low-resolution remote sensing images. Taking both low and high resolution into account, we present a novel hierarchical reinforcement learning (HRL) saliency model to detect airport target. Different from conventional saliency models focusing on nature images, our HRL mo...
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关键词
Atmospheric modeling,Airports,Image resolution,Adaptation models,Image color analysis,Remote sensing,Learning (artificial intelligence)
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