Permanent Snow and Ice Extraction Based on Object-Oriented Classification in Himalaya
He Bing; Kong Bong
2015
会议日期JUN 19-21, 2015
会议地点China Univ Geosciences, Wuhan
关键词Optimal Segmentation Scale Mount Everest Landsat TM Normalized Difference Vegetation Index
DOI10.1109/GEOINFORMATICS.2015.7378635
页码459-462
国家PEOPLES R CHINA
英文摘要As the highest mountain chain in the world, the Himalaya's snow and ice are melting gradually. How to extract the border and area of permanent snow and ice in Himalaya becomes a very important problem for global climate change research. In order to explore methods to extract permanent snow and ice in unreachable area, this paper takes the multi-source remote sensing data as the basic of multi-scale segmentation, and utilizes the decision tree to probe object-oriented permanent snow and ice extraction. This paper adopts the vector distance method and optimal segmentation scale calculation model to solve the problem of segmentation scale selection. It takes horizontal and vertical distance between the boundary of image objects area after segmentation and the actual boundary of classification targets as the precision difference index, and estimates the effectiveness of segmentation results in order to determine the optimal segmentation scale. Compared with the land-use visual interpretation data of Institute of Mountain Hazards and Environment, the accuracy of extraction results can reach 92.5%. It shows that the proposed methods are feasible, and the results are also credible and accurate.
产权排序1
会议录2015 23RD INTERNATIONAL CONFERENCE ON GEOINFORMATICS
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISSN号2161-024X
ISBN号978-1-4673-7664-8
WOS记录号WOS:000381472200088
内容类型会议论文
源URL[http://ir.imde.ac.cn/handle/131551/35236]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
通讯作者He Bing
作者单位Digital Mountain and Remote Sensing Application Center, Institute of Mountain Hazards and Environment, CAS, Chengdu, China
推荐引用方式
GB/T 7714
He Bing,Kong Bong. Permanent Snow and Ice Extraction Based on Object-Oriented Classification in Himalaya[C]. 见:. China Univ Geosciences, Wuhan. JUN 19-21, 2015.
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