An innovative approach to improve SRTM DEM using multispectral imagery and artificial neural network

Journal of Advances in Modeling Earth Systems

Volumn 8, Issue 2, 2016, Pages 691-702

  Wendi, Dadiyorto ^a,d,e   Liong, Shie Yui ^a,b,c   Sun, Yabin ^a   doan, Chi Dung ^a,b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Towers Watson   (United Kingdom)

^c SINGAPORE MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY   (Singapore)

^d UNIVERSITY OF POTSDAM   (Germany)

^e C/o DLR Oberpfaffenhofen   (Germany)

Author keywords

ANN; Landsat 8; SRTM improvements

Indexed keywords

CATCHMENTS; DATA FLOW ANALYSIS; FORESTRY; LOW PASS FILTERS; MEAN SQUARE ERROR; NEURAL NETWORKS; PATTERN RECOGNITION; REMOTE SENSING; STEREO IMAGE PROCESSING; TRACKING RADAR;

DIGITAL ELEVATION MODEL; INNOVATIVE APPROACHES; LANDSAT; MULTI-SPECTRAL IMAGERY; PUBLICLY ACCESSIBLE; ROOT MEAN SQUARE ERRORS; SHUTTLE RADAR TOPOGRAPHY MISSION; SRTM IMPROVEMENTS;

SURVEYING;

EID: 84970004073     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1002/2015MS000536     Document Type: Article

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