The error propagation law shows the abundance estimation error can be reduced and hence improve the unmixed accuracy by reducing within endmember variances and increasing between endmember variances.
英
美
- 研究結果表明:(1)端元光譜間差距越大,端元光譜內差距越小,則混合像元分解精度越高;(2)如果漏選了端元光譜會(huì )造成很大的模型誤差,然而多選端元光譜卻仍然是端元組分的無(wú)偏估計。