Title :
Evaluation of clustering performance of hyperspectral bands
Author :
Haliloglu, Onur ; Sakarya, Ufuk ; Toreyin, Behcet Ugur
Author_Institution :
MS SPEKTRAL Electro-Opt. & Imaging Syst., Ankara, Turkey
Abstract :
Hyperspectral images have huge data volume that contains spectral and spatial information. This high data volume leads to processing, storage, and transmission problems. Moreover, insufficient training data results in Hughes phenomenon. It is possible to solve these problems with the help of feature selection. In this paper, a method that evaluates the clustering performance of spectral bands is proposed as a pre-processing operation in order to realize feature selection. This method is clustering each spectral band based on “dominant sets” technique and it evaluates the clustering performance of each band. The proposed method is time efficient since it works on a small set of training data instead of the whole hyperspectral data. In this study, “dominant sets” technique is first applied to hyperspectral image processing as a clustering method.
Keywords :
feature selection; hyperspectral imaging; pattern clustering; Hughes phenomenon; clustering performance evaluation; data volume processing problem; data volume storage problem; data volume transmission problem; dominant set technique; feature selection; hyperspectral band; hyperspectral image processing; spatial information; spectral information; Hyperspectral imaging; Image processing; Signal processing; Training data; Clustering; Dominant Sets; Hyperspectral Image Processing;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7130391