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	INTEGRATION OF REGION GROWING AND MORPHOLOGICAL ANALYSIS WITH SUPER-RESOLUTION LAND COVER MAPPING
	Jin, Huiran ; Li, Peijun
	2016
关键词	Super-resolution mapping (SRM) Probability maps Morphological analysis Region Growing
英文摘要	Converting probability maps derived from indicator cokriging (ICK) to a specific land cover classification map is the second step of super-resolution mapping (SRM) under the geostatistical framework. In this study, two image segmentation strategies, namely mathematical morphology and region growing, were applied on the ICK-derived probability maps in order to take into account spatial characteristics such as shape and connectivity. A case study in South Carolina (USA) showed that the thematic map created by the proposed method had an overall accuracy improved by 2% and Kappa improved by 6% compared to the map derived from the existing sequential generation process. This indicates our methodology as a promising alternative that can be embedded into SRM tasks.; CPCI-S(ISTP); 5099-5102
语种	英语
出处	36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/459630]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Jin, Huiran,Li, Peijun. INTEGRATION OF REGION GROWING AND MORPHOLOGICAL ANALYSIS WITH SUPER-RESOLUTION LAND COVER MAPPING. 2016-01-01.

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