PARAMETRIC STATISTICAL-METHOD FOR ERROR-DETECTION IN DIGITAL ELEVATION MODELS

被引：67

作者：

FELICISIMO, AM

机构：

[1] Univ of Oviedo, Oviedo, Spain

来源：

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING | 1994年 / 49卷 / 04期

关键词：

Arc macro language - Digital elevation models - Digital terrain models - Generic programming languages - Geographical information systems;

D O I：

10.1016/0924-2716(94)90044-2

中图分类号：

P9 [自然地理学];

学科分类号：

0705 ; 070501 ;

摘要：

We propose an automatic method for the detection and correction of anomalous values in matrix elevation digital models. This method uses statistical criteria and allows us to estimate the error probability of a point together with the statistical parameters derived from the same model, so that they are adapted to the characteristics of the area relief. This method has been programmed for an Arc/Info Geographical Information System environment, and thus the program is presented both in Arc Macro Language and a generic programming language.

引用

页码：29 / 33

页数：5

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