It is known that detecting small moving objects in as- tronomical image sequences is a significant research problem in space surveillance. The new theory, compressive sensing, pro- vides a very easy and computationall...It is known that detecting small moving objects in as- tronomical image sequences is a significant research problem in space surveillance. The new theory, compressive sensing, pro- vides a very easy and computationally cheap coding scheme for onboard astronomical remote sensing. An algorithm for small moving space object detection and localization is proposed. The algorithm determines the measurements of objects by comparing the difference between the measurements of the current image and the measurements of the background scene. In contrast to reconstruct the whole image, only a foreground image is recon- structed, which will lead to an effective computational performance, and a high level of localization accuracy is achieved. Experiments and analysis are provided to show the performance of the pro- posed approach on detection and localization.展开更多
快速城市化加剧了社会发展与生态保护之间的矛盾,如何利用集约的资源要素实现社会-生态效益优化,是城市可持续发展的关键。以上海市中心城区为研究对象,基于多目标规划(multiple objective planning,MOP)模型设置效益目标函数和约束条...快速城市化加剧了社会发展与生态保护之间的矛盾,如何利用集约的资源要素实现社会-生态效益优化,是城市可持续发展的关键。以上海市中心城区为研究对象,基于多目标规划(multiple objective planning,MOP)模型设置效益目标函数和约束条件嵌入斑块生成土地利用变化模拟模型(patchgenerating land use simulation model,PLUS),实现多元目标下城市绿地生态网络多情景模拟及功能评价,以期为未来城市绿地生态网络高效构建、土地利用规划决策提供参考。结果表明:1)耦合MOP模型和PLUS模型,基于土地资源多效益目标的定量化求解,可以寻求社会-生态效益最优化的关键拐点;2)不同效益目标导向下,可持续发展情景较经济发展情景和生态保护情景,耕地、林地、水域等各用地类型的相互转化,以及经济发展和生态保护之间的关系均处于相对稳定状态;3)可持续发展情景的各项绿地生态网络测度指标均介于其他2个用地情景之间,重要斑块的数量及空间分布表征,在优化社会-生态效益、城市土地利用结构配置的同时,城市绿地生态网络功能也得到提升。研究成果为超大城市高密区绿地生态网络结构功能完善、土地利用规划科学决策、城市社会-生态系统综合效益提升提供科学参考。展开更多
In 1957, the launch of the first artificial satellite ushered in a new era for modern space science. The past 50 years' developments in China's space science have witnessed many major missions, and substantial...In 1957, the launch of the first artificial satellite ushered in a new era for modern space science. The past 50 years' developments in China's space science have witnessed many major missions, and substantial progress has been achieved in space science study, exploration technology as well as experiment technology. Strategic Priority Program on Space Science was officially started in 2011. Through both self-developed space science missions and those with international cooperation,it is expected that the innovative breakthroughs will be realized, leapfrog development of related high-tech will be achieved to establish the important strategic status of space science in national development. To sum up, the implementation of the Strategic Priority Program on Space Science will definitely promote the rapid development of China's space science endeavor, making contributions to China's development and the progress of human civilization.展开更多
基金supported by the National Natural Science Foundation of China (60903126)the China Postdoctoral Special Science Foundation (201003685)+1 种基金the China Postdoctoral Science Foundation (20090451397)the Northwestern Polytechnical University Foundation for Fundamental Research (JC201120)
文摘It is known that detecting small moving objects in as- tronomical image sequences is a significant research problem in space surveillance. The new theory, compressive sensing, pro- vides a very easy and computationally cheap coding scheme for onboard astronomical remote sensing. An algorithm for small moving space object detection and localization is proposed. The algorithm determines the measurements of objects by comparing the difference between the measurements of the current image and the measurements of the background scene. In contrast to reconstruct the whole image, only a foreground image is recon- structed, which will lead to an effective computational performance, and a high level of localization accuracy is achieved. Experiments and analysis are provided to show the performance of the pro- posed approach on detection and localization.
文摘快速城市化加剧了社会发展与生态保护之间的矛盾,如何利用集约的资源要素实现社会-生态效益优化,是城市可持续发展的关键。以上海市中心城区为研究对象,基于多目标规划(multiple objective planning,MOP)模型设置效益目标函数和约束条件嵌入斑块生成土地利用变化模拟模型(patchgenerating land use simulation model,PLUS),实现多元目标下城市绿地生态网络多情景模拟及功能评价,以期为未来城市绿地生态网络高效构建、土地利用规划决策提供参考。结果表明:1)耦合MOP模型和PLUS模型,基于土地资源多效益目标的定量化求解,可以寻求社会-生态效益最优化的关键拐点;2)不同效益目标导向下,可持续发展情景较经济发展情景和生态保护情景,耕地、林地、水域等各用地类型的相互转化,以及经济发展和生态保护之间的关系均处于相对稳定状态;3)可持续发展情景的各项绿地生态网络测度指标均介于其他2个用地情景之间,重要斑块的数量及空间分布表征,在优化社会-生态效益、城市土地利用结构配置的同时,城市绿地生态网络功能也得到提升。研究成果为超大城市高密区绿地生态网络结构功能完善、土地利用规划科学决策、城市社会-生态系统综合效益提升提供科学参考。
文摘In 1957, the launch of the first artificial satellite ushered in a new era for modern space science. The past 50 years' developments in China's space science have witnessed many major missions, and substantial progress has been achieved in space science study, exploration technology as well as experiment technology. Strategic Priority Program on Space Science was officially started in 2011. Through both self-developed space science missions and those with international cooperation,it is expected that the innovative breakthroughs will be realized, leapfrog development of related high-tech will be achieved to establish the important strategic status of space science in national development. To sum up, the implementation of the Strategic Priority Program on Space Science will definitely promote the rapid development of China's space science endeavor, making contributions to China's development and the progress of human civilization.
