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《Chinese Journal of Lasers》 2012-07
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Fast Detection of Regions of Interest in High Resolution Remote Sensing Image

Zhang Libao1,2 Wang Pengfei1 1College of Information Science and Technology,Beijing Normal University,Beijing 100875,China 2State Key Laboratory of Remote Sensing Science,Beijing Normal University,Beijing 100875,China  
The traditional detection methods for these regions of interest in high resolution remote sensing image generally search the whole image on the basis of prior knowledge,which leads to high computational complexity.A new fast detection algorithm based on human visual characteristic for these regions of interest in high resolution remote sensing image is proposed.The new algorithm based on visual attention model applies spatial dimension reduction strategy to confirm these focuses of visual attention.According to the positions of focuses of visual attention,the new algorithm describes these relevant regions of interest in the original remote sensing image.The experimental results show that the new algorithm could not only have the lower computational complexity,but also avoid image segmentation and feature detection for the whole image and improve the detection efficiency of regions of interest in high resolution remote sensing image.
【Fund】: 国家自然科学基金(61071103 60602035);; 中国科学院遥感应用研究所、北京师范大学遥感科学国家重点实验室开放基金(OFSLRSS201001)资助课题
【CateGory Index】: TP751
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