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论文:2014,Vol:32,Issue(1):98-101 |
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引用本文： |
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郭雷, 姚西文, 韩军伟, 程塨, 钱晓亮. 结合视觉显著性和空间金字塔的遥感图像机场检测[J]. 西北工业大学 |
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Guo Lei, Yao Xiwen, Han Junwei, Cheng Gong, Qian Xiaoliang. A New Method for Airport Remote Sensing Image Detection Based on Visual Saliency and Spatial Pyramid Feature[J]. Northwestern polytechnical university |
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| 结合视觉显著性和空间金字塔的遥感图像机场检测 |
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| 郭雷, 姚西文, 韩军伟, 程塨, 钱晓亮 |
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| 西北工业大学 自动化学院, 陕西 西安 710072 |
| 摘要: |
| 提出一种结合视觉显著性和空间金字塔的遥感图像机场检测方法,首先根据改进的直线段检测算法对滑动窗口进行目标存在初步判断,只对可能含有目标的窗口按照空间金字塔表示方法提取该窗口中每一图像子块的稀疏编码,利用基于视觉显著性的特征抽取策略形成表征滑动窗口的全局特征向量,然后对该特征向量进行分类判别,得到滑动窗口含有目标的置信值,最后采用非极大值抑制完成机场检测。实验结果表明,该机场检测方法相比其他方法检测效率显著提高,并且具有识别率高、虚警率低的特点。 |
| 关键词:
机场检测
金字塔特征
视觉显著
稀疏编码
滑动窗口
直线段检测器
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| A New Method for Airport Remote Sensing Image Detection Based on Visual Saliency and Spatial Pyramid Feature |
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| Guo Lei, Yao Xiwen, Han Junwei, Cheng Gong, Qian Xiaoliang |
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| Department of Automatic Control, Northwestern Ploytechnical University, Xi'an 710072, China |
| Abstract: |
| We use the improved line segment detector algorithm to judge preliminarily whether the sliding window contains an airport or not. Then we use the spatial pyramid feature expression method based on visual saliency to extract the sparse coding of each image patch in the sliding window that may contain the airport. The global feature vector that characterizes the sliding window is formed by using the visual saliency-based feature extraction strategy and then classified and judged by the support vector machine to distinguish the airport image from background image,thus obtaining the confidence values of the sliding window that contains the airport. Finally we use the nonmaximum suppression method to detect the airport image. The simulation results,given in Table 1,show preliminarily that our airport detection method can robustly express the sliding window and effectively detect the airport image,has a higher detection rate and smaller false alarm rate the other airport detection methods. |
| Key words:
airports
classifiers
detectors
feature extraction
image processing
MATLAB
remote sensing
support vector machines
airport detection
spatial pyramid feature
visual saliency
sparse coding
sliding window
line segment detector
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| 收稿日期: 2013-04-21
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(91120005);西北工业大学基础研究基金(JC20120237);陕西省科技新星(2012KJXX-13)资助 |
| 通讯作者:
Email： |
| 作者简介: 郭雷(1956-),西北工业大学教授、博士生导师,主要从事图像处理及目标检测的研究。
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| 相关功能 |
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| 作者相关文章 |
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| 郭雷 在本刊中的所有文章 |
| 姚西文 在本刊中的所有文章 |
| 韩军伟 在本刊中的所有文章 |
| 程塨 在本刊中的所有文章 |
| 钱晓亮 在本刊中的所有文章 |
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参考文献: |
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