Impervious surface change mapping with an uncertainty-based spatial-temporal consistency model: A case study in Wuhan City using landsat time-series datasets from 1987 to 2016

Remote Sensing

Volumn 9, Issue 11, 2017, Pages

  Shi, Lingfei ^a,b   Ling, Feng ^a   Ge, Yong ^c   Foody, Giles M ^d   Li, Xiaodong ^a   Wang, Lihui ^a   Zhang, Yihang ^a   Du, Yun ^a  

^a Chinese Academy of Sciences   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

^d UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

Classification uncertainty; Impervious surface; Landsat; Support vector machine (SVM); Temporal consistency (TC) model; Uncertainty based spatial temporal consistency (USTC) model

Indexed keywords

IMAGE ENHANCEMENT; MAPPING; SUPPORT VECTOR MACHINES; TIME SERIES;

ENHANCED THEMATIC MAPPERS; IMPERVIOUS SURFACE; LANDSAT; OPERATIONAL LAND IMAGER; SPATIAL AND TEMPORAL RESOLUTIONS; SPATIAL-TEMPORAL CHANGES; SPATIAL-TEMPORAL CONSISTENCY; TEMPORAL CONSISTENCY;

CLASSIFICATION (OF INFORMATION);

EID: 85034765430     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs9111148     Document Type: Article

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