Classification using Extended Morphological Attribute Profiles based on different feature extraction techniques

Stijn Peeters,Prashanth Reddy Marpu,Jon Atli Benediktsson,Mauro Dalla Mura

Geoscience and Remote Sensing Symposium（2011）

引用 9|浏览7

暂无评分

摘要

Extended Morphological Attribute Profiles (EAPs) are extension of Extended Morphological Profiles (EMPs). They are based on the more general Morphological Attribute Profiles (APs) rather than the conventional Morphological Profiles (MPs). EAPs are computed on few of the first principle components (PCs) extracted from the multi-/hyper-spectral data. In this paper, we propose to compute EAPs on features derived from supervised feature extraction techniques such as discriminant analysis feature extraction (DAFE), decision boundary feature extraction (DBFE) and non-parametric weighted feature extraction (NWFE)) instead of using unsupervised principal component analysis (PCA).

查看译文

关键词

feature extraction,geophysical image processing,geophysical techniques,image classification,principal component analysis,decision boundary feature extraction,discriminant analysis feature extraction technique,extended morphological attribute profile,feature extraction technique,hyperspectral data analysis,image classification,multispectral data analysis,nonparametric weighted feature extraction,principal component analysis,Attribute profiles,classification,feature extraction,hyperspectral images

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要