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An Effective Method Based on ACF for Aircraft Detection in Remote Sensing Images

机译：一种基于ACF的飞机图像遥感检测有效方法

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摘要

Detecting artificial targets, such as aircraft, in satellite images is significant in military and civil applications. Although the performance has improved with the use of more complicated features and better learning methods, effectively handling aircraft with variations of type, pose, and size is still very challenging. To solve this problem, we propose a multiscale sliding-window framework based on aggregate channel features, well-designed features that contain rich information. We also employ a fast feature pyramids algorithm to accelerate multiscale aircraft detection. In this framework, features are trained by Cascade AdaBoost including multiple rounds of bootstrapping that leads to improved overall accuracy. A two-step nonmaximum suppression algorithm is carefully designed based on a given set of detections. Our method shows a competitive performance on the QuickBird images of 0.6 m resolution.
机译：在军事和民用应用中，检测卫星图像中的人造目标（例如飞机）具有重要意义。尽管通过使用更复杂的功能和更好的学习方法已经提高了性能，但是有效地处理类型，姿势和大小变化的飞机仍然非常具有挑战性。为了解决这个问题，我们提出了一个基于聚合通道特征的多尺度滑动窗口框架，该框架特征经过精心设计，包含丰富的信息。我们还采用快速特征金字塔算法来加速多尺度飞机的检测。在此框架中，Cascade AdaBoost对功能进行了培训，包括多次引导过程，从而提高了总体准确性。基于给定的一组检测，精心设计了两步非最大抑制算法。我们的方法在分辨率为0.6 m的QuickBird图像上显示出竞争性能。

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  • 来源
    《IEEE Geoscience and Remote Sensing Letters》 |2017年第5期|744-748|共5页
  • 作者

    An Zhao; Kun Fu; Hao Sun; Xian Sun; Feng Li; Daobing Zhang; Hongqi Wang;

  • 作者单位

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

    Key Laboratory of Technology in Geo-Spatial Information Processing and Application System, Institute of Electronics, Chinese Academy of Sciences, Beijing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Aircraft; Feature extraction; Detectors; Training; Remote sensing; Algorithm design and analysis; Image color analysis;

    机译：飞机;特征提取;检测器;训练;遥感;算法设计与分析;图像色彩分析;

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