Rotation Sliding Window of the Hog Feature in Remote Sensing Images for Ship Detection

被引:10
|
作者
Gan, Lu [1 ]
Liu, Peng [2 ]
Wang, Lizhe [2 ]
机构
[1] Univ Sci & Technol China, Sch Informat Sci & Technol, Hefei 230027, Anhui, Peoples R China
[2] Chinese Acad Sci, Inst Remote Sensing & Digital Earth RADI, Beijing 100094, Peoples R China
基金
中国国家自然科学基金;
关键词
Hog Feature; Support Vector Machine; Rotate Images; Ship Detection;
D O I
10.1109/ISCID.2015.248
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Ship detection plays a relatively vital role in the effect of the traditional of military. In remote sensing image, we combined Histograms of Oriented Gradients features and support vector machine for ship detection. However, hog feature does not have a rotation of invariant, ship can be in any direction. Consequently, in this paper, we proposes a measure of continuous interval rotating detection sliding window of hog feature. We extract and train hog feature of positive and negative samples. Then, continuous interval rotating sliding window of hog feature to improve the accuracy of detecting ship. The experiments reveal that the detection rate can reach high of 72.7% in the vertical direction of test ship. It is of practical significance for civil and military field.
引用
收藏
页码:401 / 404
页数:4
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