%0 Journal Article
%T Calibration of NO Satellite Data with Landsat TM Data<br>TM对NOAA面积校正模型的研究
%A YUAN Chao
%A ZHAO Xian-wen
%A <br>袁超
%A 赵宪文
%J 遥感学报
%D 2000
%I 
%X In order that NO images can provide abundant macrosc opic information and at the same time ensure detailed information of certain pre cision, this article puts forward a set of methods. Its experimental area is Jil in province in northeast China. Based on NO image data of 1998 and latest TM i mage data, a calibration was done with high resolution satelliter data to impro ve the forest area estimation derived from low resolution satellite data. Meanwh ile fractal geometry theory is lead applied to analyze spatial structure chara cters of remote sensing images. Spatial distribution and shape of land blocks i n the image are quantified with the method of fractal dimension. It is helpful t o get more and useful information from remote sensing images.
%K spatial structure characters
%K fractal
%K primary unit
%K s econdary unit<br>空间结构特征
%K 分形
%K 初级单元
%K 次级单元
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=667B1D67D1A9F80F8F05759212417B67&yid=9806D0D4EAA9BED3&vid=E158A972A605785F&iid=E158A972A605785F&sid=4FE459D71E3BF8EB&eid=B7BFA4B351E4C682&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=4