A Novel Method of Ship Detection from Spaceborne Optical Image Based on Spatial Pyramid Matching

摘要：

　　In this paper we propose an automatic ship detection method in High Resolution optical satellite images based on neighbor context information.First, a pre-detection of targets gives us candidates.For each candidate, we choose an extended region called candidate with neighborhood which comprises candidate and its neighbor area.Second, the patches of candidate with neighborhood are got by a regular grid, and their SIFT(Scale Invariant Feature Transform) features are extracted.Then the SIFT features of training images are clustered with the K-means algorithm to form a codebook of the patches.We quantize the patches of candidate with neighborhood according to this codebook and get the visual word representation.Finally by applying spatial pyramid matching, the candidates are classified with SVM (support vector machine).Experiment results are given for a set of images show that our method has got predominant performance.

关键词： ship detection remote sensing context information spatial pyramid matching

作者: Guo Jun Zhu Chang-ren

作者单位: School of Electronic Science and Engineering,National University of Defense Technology,Changsha 410073,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 1099-1103

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）