On the detection of gross errors in digital terrain model source data

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On the detection of gross errors in digital terrain model source data

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dc.contributor.author Tran, Quoc Binh
dc.date.accessioned 2011-04-17T04:37:14Z
dc.date.available 2011-04-17T04:37:14Z
dc.date.issued 2007
dc.identifier.citation VNU Journal of Science, Earth Sciences 23 (2007) 213‐219 vi
dc.identifier.issn 0866-8612
dc.identifier.uri http://hdl.handle.net/123456789/285
dc.description VNU Journal of Science, Earth Sciences. Vol. 23 (2007), No. 4, P. 213‐219 vi
dc.description.abstract Nowadays, digital terrain models (DTM) are an important source of spatial data for various applications in many scientific disciplines. Therefore, special attention is given to their main characteristic ‐ accuracy. At it is well known, the source data for DTM creation contributes a large amount of errors, including gross errors, to the final product. At present, the most effective method for detecting gross errors in DTM source data is to make a statistical analysis of surface height variation in the area around an interested location. In this paper, the method has been tested in two DTM projects with various parameters such as interpolation technique, size of neighboring area, thresholds,... Based on the test results, the authors have made conclusions about the reliability and effectiveness of the method for detecting gross errors in DTM source data. vi
dc.language.iso en vi
dc.publisher ĐHQGHN vi
dc.subject Digital terrain model vi
dc.subject DTM source data vi
dc.subject Gross error detection vi
dc.subject Interpolation vi
dc.title On the detection of gross errors in digital terrain model source data vi
dc.type Article vi

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