一種巨幅遙感影像中機場ROI檢測算法
An Approach to Airport ROI Detection in Large Remote Sensing Images
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摘要: 目標(biāo)檢測一直是遙感領(lǐng)域的一個難題,巨幅影像處理進(jìn)一步加大了目標(biāo)檢測的難度。為此,提出了一種基于特征空間分析的機場ROI快速檢測方法,將影像分塊讀取,并行處理提取特征,采用Mean-shift方法對所提取特征分析聚類,最終定位出機場ROI。實驗結(jié)果表明,該ROI檢測方法具有很好的穩(wěn)健性、自動性和并行性,并能夠有效地降低巨幅影像處理的難度。
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關(guān)鍵詞:
- 遙感影像; 機場; 檢測;Mean-shift
Abstract: Object detection has been a difficult problem in remote sensing community for a long time. To process very large image make object detection even more difficult. A method for detecting airport ROI(Region Of Interest) is proposed, which is based on feature space analysis that can fast locate airport. The image can be read into blocks for extracting features respectively and simultaneously. The extracted features are analyzed by mean-shift method, and eventually the airport regions can be located. The proposed ROI detecting method has strong robustness, autonomy and parallelism. It can drastically decrease the difficulty of processing very large images. -
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