Multi-Scale Blobs for Saliency Detection in Satellite Images

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• 作者：Yanan Zhou ; Jiancheng Luo ; Xiaodong Hu…
• 刊名：Journal of the Indian Society of Remote Sensing
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：44
• 期：2
• 页码：159-166
• 全文大小：1,283 KB
• 刊物类别：Earth and Environmental Science
• 刊物主题：Earth sciences
  Geosciences
  Remote Sensing and Photogrammetry
  
• 出版者：Springer India
• ISSN：0974-3006
• 卷排序：44

文摘

Saliency can be modeled as spatially localized and contrasted structures with higher blob density and higher blob evenness across scales in images. And it is likely to contain regions and objects of interest. So saliency detection is desired before further image processing and analysis. This paper presented an automatic and effective method for saliency detection in satellite images, based on multi-scale blob information. Firstly, multi-scale blob information were extracted from input images, to produce a blob map. Then, in the blob map, multi-level distance transform spread the blob information to the entire image, to generate a saliency map. Finally the saliency map was segmented to detect salient regions and to locate object centers. The experimental results illustrated its accuracy and stability for detecting salient regions (such as residential areas, parking lots and airplane docks) and for locating object centers in various satellite images.KeywordsMulti-scale blobMulti-level distance transformSalient regionObject centerSatellite image