FYAMERSI数据植被指数产品异常条带问题处理方法研究.pdf

Geographical Science Research 地理科学研究, 2016, 5(2), 64-74 Published Online May 2016 in Hans. /journal/gser /10.12677/gser.2016.52008 Research on Method of “Abnormal Stripe Problem” of Vegetation Index Product of FY3A MERSI Chuanshang Wu School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu Sichuan th th th Received: Apr. 15 , 2016; accepted: May 6 , 2016; published: May 9 , 2016 Copyright © 2016 by author and Hans Publishers Inc. This work is licensed under the Creative Commons Attribution International License (CC BY). /licenses/by/4.0/ Abstract There are so many problems in the NVI product that affect the availability of the NVI product. The main problem includes abnormal stripe, which is summarized in the NVI product. Apply manual method and auto method, which could solve the significant problems of the NVI and improve its quality, has been discussed. Auto method avoids wasting a lot of time to search the area of abnor- mal stripes. Thus the abnormal stripes are removed rapidly by using mathematical morphology to do boundary detection. Finally, the quality of FY3A MERSI has been improved and the data availa- bility has been ensured. Keywords Remote Sensing, MERSI, Abnormal Stripe, Mathematical Morphology, North China FY3A MERSI数据的植被指数产品“异常条带” 问题处理方法探究 吴传赏 电子科技大学资源与环境学院，四川 成都 文章引用: 吴传赏. FY3A MERSI 数据的植被指数产品“异常条带” 问题处理方法探究[J]. 地理科学研究, 2016, 5(2): 64-74. /10.12677/gser.2016.52008 吴传赏 收稿日期：2016年4月15 日；录用日期：2016年5月6 日；发布日期：2016年5月9 日 摘 要 目前，FY3A MERSI数据的植被指数(NVI)产品没有进行数据质量的严格控制。相应的，数据产品出现各 种问题，严重影响了NVI数据产品的可用性。通过观察可发现在NVI产品之中，最严重的显著的问题是“异 常条带”现象。本文