scholar.google.com › citations
This paper presents a further geometry analysis of this method, and an improved ESVM is developed, which takes into account both within-class spectral ...
An improved ESVM is developed, which takes into account both within-class spectral variability and within each mixed case, and can obtain more realistic ...
People also ask
What is spectral unmixing?
What is support vector machine disadvantages?
Dec 24, 2015 · Spectral unmixing resolution (SUR) is introduced to characterize how finely the mixture in a mixed pixel can be quantified.
TL;DR: An improved ESVM is developed, which takes into account both within-class spectral variability and within each mixed case, and can obtain more realistic ...
In this paper, approaches of adaptive subsets of endmembers selection for individual pixels are presented which can improve the performance of spectral unmixing ...
Spectral Unmixing with Estimated Adaptive Endmember Index Using Extended Support Vector Machine · Environmental Science, Computer Science · 2015.
Spectral unmixing based on improved extended support vector machines. July 2012. Liguo Wang · Xiuping Jia · Xiaofeng Li. Extended support ...
In this paper, we describe a Support Vector Machine (SVM) based approach for spectral unmixing of intimate geological mixtures. In this approach, we use the ...
Extended support vector machines (ESVM) was introduced recently for spectral unmixing. It models a class using a group of representative spectra to ...
Xiaofeng Li, Liguo Wang, Xiuping Jia : Spectral unmixing based on improved extended support vector machines. IGARSS 2012: 4118-4121.