Effective Key Parameter Determination for an Automatic Approach to Land Cover Classification Based on Multispectral Remote Sensing Imagery

CORC > 地理科学与资源研究所 > 中国科学院地理科学与资源研究所 > 自然资源与环境安全研究部 > 环境修复与资源工程研究室 > SCI/SSCI期刊论文

	Effective Key Parameter Determination for an Automatic Approach to Land Cover Classification Based on Multispectral Remote Sensing Imagery
	Wang Y.; Wang W.; Jiang D.; Zhuang D. F.; Huang Y. H.
	2013
关键词	change-vector analysis spatial-pattern tm data agreement identification landscape accuracy database kappa china
英文摘要	The classification of land cover based on satellite data is important for many areas of scientific research. Unfortunately, some traditional land cover classification methods (e. g. known as supervised classification) are very labor-intensive and subjective because of the required human involvement. Jiang et al. proposed a simple but robust method for land cover classification using a prior classification map and a current multispectral remote sensing image. This new method has proven to be a suitable classification method; however, its drawback is that it is a semi-automatic method because the key parameters cannot be selected automatically. In this study, we propose an approach in which the two key parameters are chosen automatically. The proposed method consists primarily of the following three interdependent parts: the selection procedure for the pure-pixel training-sample dataset, the method to determine the key parameters, and the optimal combination model. In this study, the proposed approach employs both overall accuracy and their Kappa Coefficients (KC), and Time-Consumings (TC, unit: second) in order to select the two key parameters automatically instead of using a test-decision, which avoids subjective bias. A case study of Weichang District of Hebei Province, China, using Landsat-5/TM data of 2010 with 30 m spatial resolution and prior classification map of 2005 recognised as relatively precise data, was conducted to test the performance of this method. The experimental results show that the methodology determining the key parameters uses the portfolio optimisation model and increases the degree of automation of Jiang et al.'s classification method, which may have a wide scope of scientific application.
出处	Plos One
卷	8
期	10
收录类别	SCI
语种	英语
ISSN号	1932-6203
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30181]
专题	资源利用与环境修复重点实验室_资源地理与国土资源研究室_SCI/SSCI期刊论文中国科学院地理科学与资源研究所
推荐引用方式 GB/T 7714	Wang Y.,Wang W.,Jiang D.,et al. Effective Key Parameter Determination for an Automatic Approach to Land Cover Classification Based on Multispectral Remote Sensing Imagery. 2013.