Fast and Accurate Target Detection Based on Multiscale Saliency and Active Contour Model for High-Resolution SAR Images

作者：Tu, Song^*; Su, Yi

来源：IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(10): 5729-5744.

DOI：10.1109/TGRS.2016.2571309

• Active contour model (ACM)
• convex
• large scale
• split Bregman
• synthetic aperture radar (SAR) image
• target detection

The active contour model (ACM) is widely used in target detection of optical and medical images, but multiplicative speckle noise largely interferes with its use in synthetic aperture radar (SAR) images. To overcome this difficulty, a region- and edge-based convex ACMwith high efficiency is proposed for target detection in small-scale SAR images. Then, a novel detection algorithm, which combines the advantages of a multiscale saliency detection method and the proposed high-efficiency ACM, is presented to address a large-scale and high-resolution SAR image automatically. Target detection experiments in real and simulated SAR images show that the proposed methods outperform classical ACMs and the popular two-parameter constant false alarm rate detector in terms of efficiency and accuracy.

• 出版日期2016-10
• 单位中国人民解放军国防科学技术大学