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| 1 | A coarse-to-fine image registration method based on visual attention model显示文摘Image registration is fundamental and crucial to remote sensing.However getting highly accurate registration performance automatically and fast for large-field images consistently is a challenge.As a work around to this problem,we propose a new image registration concept based on visual attention in this paper.This concept employs the advantages of feature-based or area-based methods to improve the precision and efficiency of image registration.The key concept of proposed integrated scheme is to make optimum use of the highly prominent details in the full scene by means of visual attention computational mechanism.To testify the validation,comparisons with other classical methods are carried out on real-world images.The experimental results show that the proposed method can effectively perform on multi-view/multi-temporal remote sensing images with outstanding precision and time saving performance. | FENG Jing MA Long BI FuKun ZHANG XueJing CHEN He | 2014 | Science China(Information Sciences)2014，57，12： | 5 |
| 2 | Using big data to track marine oil transportation along the 21st-century Maritime Silk Road显示文摘China's designation of the '21 st-century Maritime Silk Road'(MSR) region is of extraordinary significance to its maritime rights, transportation security, and socio-economic development. We developed a technical framework allowing the use of 'big data' derived from the Automatic Identification System(AIS, an automatic ship-tracking network) for two purposes: the accurate mapping of oil tanker trajectories and the creation of heat maps showing the relative use of oil tanker routes and marine shipping chokepoints. We then applied these methods to 1.5 billion AIS records collected within the MSR in 2014 to statistically identify and analyze busy routes, areas, and chokepoints in this strategic region. Our results demonstrate that the proposed framework can provide an effective analysis of oil movements based on large-scale AIS datasets, helping researchers and policy makers better understand the footprint and strategic implications of maritime oil transportation in the MSR region. | CHENG Liang YAN ZhaoJin XIAO YiJia CHEN YanMing ZHANG FangLi LI ManChun | 2019 | Science China(Technological Sciences)2019，62，4： | 3 |
| 3 | A waterborne salient ship detection method on SAR imagery显示文摘Dear editor,Synthetic aperture radar(SAR)is a powerful electro-optic sensor for maritime use regardless of impact of time and meteorological conditions.Notably,ship detection plays an important role in | MA Long CHEN Liang ZHANG XueJing CHEN He Nouman Qadeer SOOMRO | 2015 | Science China(Information Sciences)2015，58，8： | 2 |
| 4 | 改进RFLICM模型的青海湖水体边界提取显示文摘针对传统FCM聚类方法提取青海湖水体边界的不确定性,提出改进模糊局部信息聚类方法(RFLICM)的青海湖水体边界提取方法。该方法利用条件概率密度函数的负对数描述像素与聚类间相似性,并结合空间位置定义模糊局部变量以控制算法分割尺度,结合邻域像素标号定义先验概率,进而将影像分割成湖水和陆地两部分,通过提取影像分割结果轮廓线获得湖水边界线。实验结果表明,该方法可以有效地提取青海湖边界信息,提取结果优于RFLICM与隐Markov随机场模型的增强型空间约束FCM影像聚类(HMRF-FCM)方法。 | 张得琳 沈吉宝 | 2023 | 地理空间信息2023，21，10： | 0 |
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