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J4  2009, Vol. 43 Issue (09): 1574-1579    DOI: 10.3785/j.issn.1008973X.2009.09.005
自动化技术、计算机技术     
基于SAM和多源信息的土地利用/覆盖自动分类
刘璞,张远,周斌,吴嘉平
(浙江大学 环境与资源学院,浙江省农业遥感与信息技术研究重点实验室, 浙江 杭州 310029)
Land use/cover classification using multi-source data with SAM
LIU Pu, ZHANG Yuan, ZHOU Bin, WU Jia-ping
(Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province,College of Environment
and Natural Resources, Zhejiang University, Hangzhou 310029, China)
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摘要:

将多源信息与光谱角制图(SAM)自动分类相结合,探求多源信息在TM图像自动分类中的作用.以具有代表性的浙江富阳市和义乌市为研究区,进行试验验证.结果表明,与其他多源信息如海拔高程、坡向、归一化植被指数(NDVI)、归一化水体指数(NDWI)、归一化建筑指数(NDBI)和归一化裸土指数(NDBaI)相比,坡度信息的辅助作用最为突出.复合坡度信息后的TM图像SAM分类总精度比单独TM图像SAM分类提高10%左右.融合坡度辅助信息运用SAM方法,适用于地形地貌复杂、土地利用细碎地区的TM图像土地利用/覆盖自动分类.

Abstract:

The effectiveness of multisource data was analyzed by using TM imagery and multisource data with spectral angle mapper (SAM) algorithm. Fuyang City, Zhejiang Province was selected as the study site, while Yiwu City of the Province was as a verification site. Results showed that slope information provided the best assistance in land use/cover classification, compared with other source data such as elevation, aspect, normalized difference vegetation index(NDVI), normalized difference water index(NDWI), normalized difference buildup index(NDBI) and normalized difference bareness index(NDBaI). The classification accuracy with the slope information added increased by about 10% compared with the result from TM data only. The SAM method by integrating TM imagery and slope data is applicable for the area with complex physiography and finelybroken land use/cover.

:  TP 75  
基金资助:

浙江省重点科技资助项目(2006C22026);浙江大学引进人才启动基金.

通讯作者: 吴嘉平,男,教授.     E-mail: liupu120@163.com
作者简介: 刘璞(1983-),女,山西太原人,硕士生,从事环境与资源遥感和地理信息系统研究.
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引用本文:

刘璞, 张远, 周斌, 等. 基于SAM和多源信息的土地利用/覆盖自动分类[J]. J4, 2009, 43(09): 1574-1579.

LIU Pu, ZHANG Yuan, ZHOU Bin, et al. Land use/cover classification using multi-source data with SAM. J4, 2009, 43(09): 1574-1579.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008973X.2009.09.005        http://www.zjujournals.com/eng/CN/Y2009/V43/I09/1574

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