Automatic target detection using binary template matching

  title={Automatic target detection using binary template matching},
  author={Dongsan Jun and Sun-Gu Sun and Hyunwook Park},
  journal={Optical Engineering},
This paper presents a new automatic target detection (ATD) algorithm to detect targets such as battle tanks and armored personal carriers in ground-to-ground scenarios. Whereas most ATD algorithms were developed for forward-looking infrared (FLIR) images, we have developed an ATD algorithm for charge-coupled device (CCD) images, which have superior quality to FLIR images in daylight. The proposed algorithm uses fast binary template matching with an adaptive binarization, which is robust to… Expand
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  • International Symposium on Multispectral Image Processing and Pattern Recognition
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  • 2010 IEEE International Geoscience and Remote Sensing Symposium
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  • 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).
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A robust multi-spectral adaptive object detection algorithm is derived for a multiple spatial resolution and orientation decomposition image mode by using a wavelet transform. The second-orderExpand
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A neural-network-based algorithm is presented that simultaneously achieves data compression and target discriminability by adjusting the pre-trained base components to maximize separability between classes. Expand