GLACIER INFORMATION EXTRACTION BASED ON MULTI-FEATURE COMBINATION MODEL

As a typical landform class of Qinghai-Tibetan Plateau, glacier is widely distributed in alpine terrain. However, field measurement is impossible in those areas because of complex terrain and adverse weather. At first, on the basis of analyzing the features of glacier image spectrum, object shape, spatial relations and environment distribution including terrain and climate, this paper combines and develops the existing feature description algorithm of object-oriented method. Secondly, we build a series of combined extraction models for glacier landform by using high resolution remote sensing images and DEM data. At last, based on object-oriented method and combined extraction models, this paper tests glacier landform extraction in Qinghai-Tibetan Plateau study area of Western Mapping Project. Results demonstrate that the multi-feature combination model is feasible. The researches introduce a new approach to remote sensing auto-extraction of glacier information which is difficult to measure in the field. Moreover, the paper explores some new ideas in the researches of monitoring glacier ablation and climatic change.