Spectral-Spatial Methods for Hyperspectral Image Classification. Review
| Autor: | S. M. Borzov, O. I. Potaturkin |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry 0211 other engineering and technologies Hyperspectral imaging Pattern recognition 02 engineering and technology Condensed Matter Physics Stellar classification 01 natural sciences 010309 optics Support vector machine Remote sensing (archaeology) 0103 physical sciences Preprocessor Segmentation Artificial intelligence Electrical and Electronic Engineering Photonics business Instrumentation Spatial analysis 021101 geological & geomatics engineering |
| Zdroj: | Optoelectronics, Instrumentation and Data Processing. 54:582-599 |
| ISSN: | 1934-7944 8756-6990 |
| DOI: | 10.3103/s8756699018060079 |
| Popis: | Various methods of spectral-spatial classification of hyperspectral data are reviewed. Papers devoted to the most popular ways of using spatial information for increasing the accuracy of classification maps are considered. It is shown that the best results are obtained by using preprocessing of “raw” data before the procedures of pixel-wise spectral classification. Disadvantages, limits, and possible directions for developing existing methods are investigated and analyzed. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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