为准确获取云雨天气较多地区的农作物分布信息,以敦化市西北部的黑市乡和额穆镇为研究区,以高分一号(GF-1)卫星宽视场(wide field view,WFV)传感器和哨兵一号(Sentinel-1)为数据源,通过WFV数据提取耕地范围,利用J-M(Jeffries-Matusita)...为准确获取云雨天气较多地区的农作物分布信息,以敦化市西北部的黑市乡和额穆镇为研究区,以高分一号(GF-1)卫星宽视场(wide field view,WFV)传感器和哨兵一号(Sentinel-1)为数据源,通过WFV数据提取耕地范围,利用J-M(Jeffries-Matusita)距离可分性进行Sentinel-1影像最优分类时相组合的判断,根据选取Sentinel-1数据通过最近邻分类器多次循环对研究区主要农作物的分布信息进行提取。研究结果表明,进行多次循环产生的分类结果优于单次循环结果,循环次数达到5次结果趋于稳定,总体分类精度为84.23%。可见利用Sentinel-1数据进行敦化市农作物分类是可行的,多次循环的最近邻算法有利于获取更精准的农作物分布信息。展开更多
This paper investigates a class of flocks with an M-nearest-neighbor rule,where each agent's neighbors are determined according to M nearest agents with M being a given integer,rather than all the agents within a ...This paper investigates a class of flocks with an M-nearest-neighbor rule,where each agent's neighbors are determined according to M nearest agents with M being a given integer,rather than all the agents within a fixed metric distance as in the well-known Vicsek's model.Such a neighbor rule has been validated by biologists through experiments and the authors will prove that,similar to the Vicsek's model,such a new neighbor rule can also achieve consensus under some conditions imposed only on the system's speed and the number M,n,without resorting to any priori connectivity assumptions on the trajectory of the system.In particular,the authors will prove that if the number M is proportional to the population size n,then for any speed v,the system will achieve consensus with large probability if the population size is large enough.展开更多
文摘为准确获取云雨天气较多地区的农作物分布信息,以敦化市西北部的黑市乡和额穆镇为研究区,以高分一号(GF-1)卫星宽视场(wide field view,WFV)传感器和哨兵一号(Sentinel-1)为数据源,通过WFV数据提取耕地范围,利用J-M(Jeffries-Matusita)距离可分性进行Sentinel-1影像最优分类时相组合的判断,根据选取Sentinel-1数据通过最近邻分类器多次循环对研究区主要农作物的分布信息进行提取。研究结果表明,进行多次循环产生的分类结果优于单次循环结果,循环次数达到5次结果趋于稳定,总体分类精度为84.23%。可见利用Sentinel-1数据进行敦化市农作物分类是可行的,多次循环的最近邻算法有利于获取更精准的农作物分布信息。
基金supported by the National Natural Science Foundation(NNSF)of China under Grant No.61203141the National Center for Mathematics and Interdisciplinary Sciences,Chinese Academy of Science
文摘This paper investigates a class of flocks with an M-nearest-neighbor rule,where each agent's neighbors are determined according to M nearest agents with M being a given integer,rather than all the agents within a fixed metric distance as in the well-known Vicsek's model.Such a neighbor rule has been validated by biologists through experiments and the authors will prove that,similar to the Vicsek's model,such a new neighbor rule can also achieve consensus under some conditions imposed only on the system's speed and the number M,n,without resorting to any priori connectivity assumptions on the trajectory of the system.In particular,the authors will prove that if the number M is proportional to the population size n,then for any speed v,the system will achieve consensus with large probability if the population size is large enough.
