摘要
OLI影像波段多,波段相关性强,数据冗余度高,选择合适的波段组合是开展遥感应用的关键.以南通沿海滩涂为研究区域,在分析各波段信息量和波段间相关性基础上,基于信息量的OIF指数法筛选出最佳波段组合,以典型的滩涂4种覆盖类型海水、植被、养殖池、光滩提取为例,运用基于类别可分性的J-M距离模型评价了4种类型在各波段组合上的可分性,对OIF指数筛选出的最佳波段组合结果进行了进一步的优化分析.结果表明,456组合为"植被—养殖池"分类的最佳波段组合,345组合为"植被—光滩""光滩—养殖池"分类的最佳波段组合,145组合为"海水—养殖池"分类的最佳波段组合,457组合为"光滩—海水"分类的最佳波段组合.
Due to numerous bands,strong band correlation and data redundancy of OLI image,choosing the appropriate band combination is the key to carry out remote sensing application.This paper,taking the tidal flat of Nantong as a study area,the best band combination was selected by using the optimum index factor method based on the correlation between the information content and the band correlation of each band.Then,taking the four typical types of seawater,vegetation,culture pond and light beach extraction as a example,the J-M distance model based on the class separability was used to evaluate the separability of the four kinds of surface cover in each band combination.The results of the best combination of the selected bands were further optimized.The results showed that the 456 combination is the best combination for distinguishing“vegetation-breeding pond”;345 was the best combination for distinguishing“vegetation-light beach”and“light beach-breeding pond”;145 was the best combination for distinguishing“seawater-breeding pond”;and 457 was the best combination for distinguishing“light beach-sea water”separately.
作者
章志
罗锋
张一乙
ZHANG Zhi;LUO Feng;ZHANG Yiyi(Tidal Flat Research Center of Jiangsu Province,Nanjing 210036,China;Key Laboratory of Coastal Zone Exploitation and Protection,Ministry of Land and Resources,Nanjing 210024,China)
出处
《淮海工学院学报（自然科学版）》
CAS
2018年第1期81-87,共7页
Journal of Huaihai Institute of Technology:Natural Sciences Edition
基金
江苏省海洋科技创新专项项目(HY2017-2)
国土资源部海岸带开发与保护重点实验室开放基金项目(2017CZEPK05)
