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Salient Region Detection in High Resolution Remote Sensing Images
Junge Sun; Yunhong Wang; Zhaoxiang Zhang; Yiding Wang
2010-05-14
会议名称19th Annual Wireless and Optical Communications Conference
会议录名称WOCC 2010
会议日期14-15 May 2010
会议地点Shanghai, China
摘要In this paper, we address the problem of automatic pre-segmentation for object detection and recognition in remote sensing image processing. It plays an important role in reducing computational burden and increasing efficiency for further image processing and analysis. A visual-attention based saliency computation approach is introduced to select the perceptually salient and highly informative regions that represent the main contents of the high resolution remote sensing images. In our method, two bottom-up visual saliency computation methods, edge-based and Graph-based visual saliency (GBVS), are adopted to exploit different kind of features, and the two saliency maps are fused using a 2D Gaussian shaped function for the purpose of improving salient region detection performance. The experimental results demonstrate that our proposed method performs well in ground-truth evaluation and outperforms on the salient target area segmentation task, thus could be introduced for preprocessing of targets object detection and recognition.
关键词Pre-segmentation Remote Sensing Saliency Map
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13303
专题类脑智能研究中心
通讯作者Zhaoxiang Zhang
推荐引用方式
GB/T 7714
Junge Sun,Yunhong Wang,Zhaoxiang Zhang,et al. Salient Region Detection in High Resolution Remote Sensing Images[C],2010.
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