中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Multi-Scale Blobs for Saliency Detection in Satellite Images

文献类型:SCI/SSCI论文

作者Zhou Y. N.; Luo, J. C.; Hu, X. D.; Shen, Z. F.; Yu, GR; Gao, Y; Li, ML; He, NP
发表日期2016
关键词Multi-scale blob Multi-level distance transform Salient region Object center Satellite image remote-sensing images features scale
英文摘要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.
出处Journal of the Indian Society of Remote Sensing
44
2
159-166
收录类别SCI
语种英语
ISSN号0255-660X
源URL[http://ir.igsnrr.ac.cn/handle/311030/43957]  
专题地理科学与资源研究所_生态系统研究网络观测与模拟重点实验室_CERN水分分中心
推荐引用方式
GB/T 7714
Zhou Y. N.,Luo, J. C.,Hu, X. D.,et al. Multi-Scale Blobs for Saliency Detection in Satellite Images. 2016.

入库方式: OAI收割

来源:地理科学与资源研究所

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