期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 8
页码：789-794
出版社：Copernicus Publications
摘要：Remote sensing imagery needs to be converted into tangible information which can be utilized in conjunction with other data sets, often within widely used Geospatial Information Systems (GIS). Remote sensing data help in mapping land resources, especially in mountainous areas where accessibility is limited. Classification of remote sensing data in mountainous terrain is problematic because of variations in the sun illumination angle. Traditional approaches have many problems in these conditions. In object based approach can utilized GIS tools for improvement of classification results. In the present work we used pixel based and object based approaches that in both we imported GIS concepts and ancillary data for refining of classification results. The results showed that object based approach have higher accuracy than pixel based approach
关键词：Remote Sensing; Geospatial Information System; Object based; Mountain areas; Ancillary data
