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Marker-based hierarchical segmentation and classification approach for hyperspectral imagery
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Benediktsson, Jon Atli Chanussot, Jocelyn Tilton, James C. Tarabalka, Yuliya |
| Copyright Year | 2011 |
| Description | The Hierarchical SEGmentation (HSEG) algorithm, which is a combination of hierarchical step-wise optimization and spectral clustering, has given good performances for hyperspectral image analysis. This technique produces at its output a hierarchical set of image segmentations. The automated selection of a single segmentation level is often necessary. We propose and investigate the use of automatically selected markers for this purpose. In this paper, a novel Marker-based HSEG (M-HSEG) method for spectral-spatial classification of hyperspectral images is proposed. First, pixelwise classification is performed and the most reliably classified pixels are selected as markers, with the corresponding class labels. Then, a novel constrained marker-based HSEG algorithm is applied, resulting in a spectral-spatial classification map. The experimental results show that the proposed approach yields accurate segmentation and classification maps, and thus is attractive for hyperspectral image analysis. |
| File Size | 480215 |
| Page Count | 4 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_20110007092 |
| Archival Resource Key | ark:/13960/t1zd2x292 |
| Language | English |
| Publisher Date | 2011-01-01 |
| Access Restriction | Open |
| Subject Keyword | Documentation And Information Science Image Analysis Classifications Algorithms Spectrum Analysis Markers Segments Spectra Pixels Image Classification Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Article |
