基于HJ-1星CCD数据的面向对象人工表面信息提取研究——以陕西关中平原为例  

Extraction of Artificial Surface Based on HJ-1 Satellite CCD Images with Object-Oriented Method——A Case Study in Guanzhong Plain,Shaanxi Province

作　　者：谢家丽[1] 颜长珍[1] 宋翔[1] 

机构地区：[1]中国科学院寒区旱区环境与工程研究所沙漠与沙漠化重点实验室,甘肃兰州730000

出　　处：《安徽农业科学》2014年第15期4897-4900,共4页Journal of Anhui Agricultural Sciences

基　　金：全国生态环境十年变化土地覆盖与地表参量遥感提取项目(STSN-01-03)

摘　　要：以2010年HJ-1号卫星CCD数据为主要数据源,采用面向对象分类方法,提取关中平原人工表面信息。在eCognition软件平台的支持下,综合影像光谱信息、纹理、形状和地理空间关系等特征参数,并添加DEM、Slope、TM数据、样本点数据以及特征指数等辅助信息,依据决策树分类思想,进行多尺度分割逐级提取地物类型。结果表明:利用HJ-1号卫星数据提取区域人工表面信息是可行的,采用面向对象的计算机自动分类方法提取人工表面信息的效率明显提高,且精度达到85.90%。Real-time extraction of the artificial surface is important for the management of land resources and the assessment of ecological environment. The object-oriented classification method based on HJ-1 satellite CCD images was used to extract artificial surface information,and Guanzhong Plain,an important commodity grain base located in the middle of Shaanxi Province with intensive human activities,was chosen to test the adaptability of the extraction method. With the support of eCognition software,the image spectrum information,texture,shape index and geographical spatial relation together with other auxiliary information such as DEM,Slope,TM data,sample point data and some characteristic indices were synthesized,and then artificial surface information were extract hierarchically on the basis of the classification algorithm of decision tree. The classification accuracy was 85. 90% and the results indicated that this method was feasible to extract artificial surface information using object-oriented method based on HJ-1 satellite CCD data. Compared with the traditional visual interpretation method,the efficiency of computer automatic classification based on object-oriented technology has been significantly boosted.

关 键 词：HJ-1号卫星 面向对象分类 关中平原 ECOGNITION 

分 类 号：S126[农业科学—农业基础科学] TP79[自动化与计算机技术—检测技术与自动化装置]