鍏抽敭璇�: 婊戝潯, 蹇�熻瘑鍒�, 璧勬簮涓夊彿鍗槦, 姹跺窛鍦伴渿

Abstract: Presently锛宺egional earthquake-induced landslides is mainly obtained by field survey and visual interpretation from remote sensing images; but these methods are objective锛宎nd time-consuming.In this study锛寃ith a main data source of domestic high-resolution remote sensing images from ZY-3 satellite as well as the study area of the Wenchuan earthquake region锛宱bjects of multilevel landslides were established using the multi-scale optimum partition method based on in-depth analysis of landslide features.A recognition rule set of multi-dimensional landslides was also built through the combination of topographic features and image features锛宻uch as spectrum锛宼exture锛宎nd geometry.Additionally锛宺ecognition models for landslide stratification were proposed based on the recognition models of high-resolution images and an understanding of the scenes.Through all of the aforementioned efforts锛宼he spatial distribution of the seismic landslide as well as the sliding source area锛宼ransport area锛宎nd depositional area can be identified intelligently.The analysis results of the experimental area showed a minimum recognition accuracy of 82.97%锛寃ith the depositional zone of landslides being the easiest zone to recognize锛宎nd the effectiveness of the proposed method as well as ZY-3 data.These findings may provide technical support for regional earthquake-induced landslides investigations and further promote geological hazard application of domestic high-resolution satellites.


顎�

Key words: Landslides, Rapid recognition, ZY-3 satellite, Wenchuan earthquake