%0 Journal Article %T Image-based nNoise e estimation of of Beijing-1 small satellite
北京1号小卫星图像噪声评估 %A CHEN Zheng-chao %A
陈正超 %J 遥感学报 %D 2009 %I %X In this paper, the P-SVM algorithm was introduced into multi-spectral/high-spatial resolution remotely sensed data classification and it is applied to classification of ASTER satellite data and ADS40 aerial digital data. The experiments indicate that the P-SVM is at least competitive with the standard SVM algorithm in classification accuracy of remotely sensed data and the time needed is less. %K SVM %K P-SVM %K multi-spectral/high-spatial resolution remotely sensed data %K classification
噪声评估 %K 北京1号小卫星 %K 噪声标准差 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=99B4C4E2714EF55D275263EE457DB99D&yid=DE12191FBD62783C&iid=38B194292C032A66&sid=D8414BC1307BF1A3&eid=C7A2B92569DF5458&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=10