Improving Super-Resolution Mapping by Combining Multiple Realizations   Obtained Using the Indicator-Geostatistics Based Method

doi:10.3390/rs9080773

CORC > 北京大学 > 地球与空间科学学院

	Improving Super-Resolution Mapping by Combining Multiple Realizations Obtained Using the Indicator-Geostatistics Based Method
	Shi, Zhongkui ; Li, Peijun ; Jin, Huiran ; Tian, Yugang ; Chen, Yan ; Zhang, Xianfeng
刊名	REMOTE SENSING
	2017
关键词	super-resolution mapping indicator geostatistics class proportion constraint pixel swapping land cover classification REMOTELY-SENSED IMAGERY PIXEL-SWAPPING ALGORITHM PARTICLE SWARM OPTIMIZATION MARKOV-RANDOM-FIELD SENSING IMAGERY ACCURACY ASSESSMENT RESOLUTION IMAGES SUBPIXEL SCALE NEURAL-NETWORK CLASSIFICATION
DOI	10.3390/rs9080773
英文摘要	Indicator-geostatistics based super-resolution mapping (IGSRM) is a popular super-resolution mapping (SRM) method. Unlike most existing SRM methods that produce only one SRM result each, IGSRM generates multiple equally plausible super-resolution realizations (i.e., SRM results). However, multiple super-resolution realizations are not desirable in many applications, where only one SRM result is usually required. These super-resolution realizations may have different strengths and weaknesses. This paper proposes a novel two-step combination method of generating a single SRM result from multiple super-resolution realizations obtained by IGSRM. In the first step of the method, a constrained majority rule is proposed to combine multiple super-resolution realizations generated by IGSRM into a single SRM result under the class proportion constraint. In the second step, partial pixel swapping is proposed to further improve the SRM result obtained in the previous step. The proposed combination method was evaluated for two study areas. The proposed method was quantitatively compared with IGSRM and Multiple SRM (M-SRM), an existing multiple SRM result combination method, in terms of thematic accuracy and geometric accuracy. Experimental results show that the proposed method produces SRM results that are better than those of IGSRM and M-SRM. For example, in the first example, the overall accuracy of the proposed method is 7.43-10.96% higher than that of the IGSRM method for different scale factors, and 1.09-3.44% higher than that of the M-SRM, while, in the second example, the improvement in overall accuracy is 2.42-4.92%, and 0.08-0.90%, respectively. The proposed method provides a general framework for combining multiple results from different SRM methods.; National Science Foundation of China [41371329]; Shandong Provincial Key Laboratory of Depositional Mineralization & Sedimentary Minerals, Shandong University of Science and Technology; SCI(E); ARTICLE; 8; 9
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/471692]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Shi, Zhongkui,Li, Peijun,Jin, Huiran,et al. Improving Super-Resolution Mapping by Combining Multiple Realizations Obtained Using the Indicator-Geostatistics Based Method[J]. REMOTE SENSING,2017.
APA	Shi, Zhongkui,Li, Peijun,Jin, Huiran,Tian, Yugang,Chen, Yan,&Zhang, Xianfeng.(2017).Improving Super-Resolution Mapping by Combining Multiple Realizations Obtained Using the Indicator-Geostatistics Based Method.REMOTE SENSING.
MLA	Shi, Zhongkui,et al."Improving Super-Resolution Mapping by Combining Multiple Realizations Obtained Using the Indicator-Geostatistics Based Method".REMOTE SENSING (2017).