1) improved dimidiate pixel model
改进像元二分法
1.
Taking the southern fringe of Gurbantunggut Desert as research area,the vegetation coverage of CEBERS data were determined by three models:dimidiate pixel model,improved dimidiate pixel model,regression model,taking the estimating results of QuickBird data dimidiate pixel model as true value.
以古尔邦通古特沙漠南缘为研究区,对CEBERS数据采用像元二分法、回归模型法和改进像元二分法进行植被覆盖度估测;以QuickBird数据像元二分植被覆盖度估测结果为真值,对CEBERS植被覆盖度估测结果进行精度检验。
2) NDVI method for dimidiate pixel model
NDVI像元二分法
1.
Using 3-bands method, NDVI method for dimidiate pixel model and integration method by QuickBird image to estimate the vegetation fraction of study area, and the estimating values of the three methods were compared and validated.
利用QuickBird高分辨率遥感数据,运用三波段法、NDVI像元二分法、综合法估算研究区域的植被覆盖度,并对3种方法的计算结果进行比较和检验,结果表明:3种方法的估测值与实际值之间的相关性均较高(均达到了0。
3) reformed binary search
改进的二分查找法
4) improved classification
改进分类法
5) Improved difference method
改进差分法
6) Pixel analysis method
像元分析法
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条