Soft classification accuracy was negatively related to the degree of intra-class variation. Moreover, the utility of a single value prediction of the ...

Abstract— Soft classification accuracy was negatively related to the degree of intra-class variation. Moreover, the utility of a single value prediction of ...

It is shown that the nature of intra-class variation present has a marked impact on the accuracy of sub-pixel class composition estimation, as it violates the ...

The impact of intra-class spectral variability on the estimation of sub-pixel land-cover class composition with a linear mixture model is explored.

Aug 1, 2007 · It is suggested that a distribution of possible class compositions can be derived from pixels instead of a single class composition prediction.

The impact of intra-class spectral variability on the estimation of sub-pixel land-cover class composition with a linear mixture model is explored.

Apr 25, 2024 · Impacts of Class Spectral Variability on Soft Classification Prediction and Implications for Change Detection. IGARSS 2006: 2072-2075. [+] ...

Impacts of Class Spectral Variability on Soft Classification Prediction and Implications for Change Detection · G. FoodyHuong T. X. Doan. Environmental Science.

The main objective of this research is to assess the impact of intra-class spectral variation on the accuracy of soft classification and super-resolution ...

TL;DR: The results highlighted that reducing intra-class spectral variation may be used to increase the accuracy of soft classification and super-resolution ...