| 000 | 02486cam a2200349 a 4500 | ||
|---|---|---|---|
| 003 | EG-GiCUC | ||
| 005 | 20250223032242.0 | ||
| 008 | 190411s2018 ua dh f m 000 0 eng d | ||
| 040 |
_aEG-GiCUC _beng _cEG-GiCUC |
||
| 041 | 0 | _aeng | |
| 049 | _aDeposite | ||
| 097 | _aM.Sc | ||
| 099 | _aCai01.20.03.M.Sc.2018.Eh.C | ||
| 100 | 0 | _aEhab Samir Mohamed | |
| 245 | 1 | 0 |
_aComparison and enhancement of hyperspectral unmixing algorithms and techniques / _cEhab Samir Mohamed ; Supervised Amr Badr , Omar Soliman , Bassam Abdellatif |
| 246 | 1 | 5 | _aمقارنة و تحسين خوارزميات و طرق الفصل الطيفى |
| 260 |
_aCairo : _bEhab Samir Mohamed , _c2018 |
||
| 300 |
_a78 Leaves : _bcharts , facsimiles ; _c30cm |
||
| 502 | _aThesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science | ||
| 520 | _aHyperspectral imagery is a multispectral imagery with a massive amount of spectral information. The enhancement in the spatial dimension of the hyperspectral imagery, does not, always, match the enhanced spectral dimension. Therefore, with a low spatial resolution, a pixel may contain a mixture of materials which, in its turn, needs unmixing algorithm to extract the components of such pixels. The huge amount of spectral data, in hyperspectral imagery, makes it possible to dissolve each pixel, spectrally, to its constituents. To achieve this target, some matching methods, unmixing algorithms, must be applied between each pixel and the a priori well-known spectra that identifies materials in that pixel. Endmember Extraction Algorithms (EEAs) try to get all pure signatures from the scene in order that Hyperspectral Unmixing (HU) techniques use them as a priori signatures to unmix each pixel. In hyperspectral imagery, the role of endmember extraction lies in extracting distinct spectral signature, endmembers, from a hyperspectral image which is considered as the primary input for unsupervised hyperspectral unmixing to generate the abundance fractions for every pixel in hyperspectral data | ||
| 530 | _aIssued also as CD | ||
| 653 | 4 | _aComparison and enhancement | |
| 653 | 4 | _aHyperspectral unmixing algorithms | |
| 653 | 4 | _aTechniques | |
| 700 | 0 |
_aAmr Badr , _eSupervisor |
|
| 700 | 0 |
_aBassam Abdellatif , _eSupervisor |
|
| 700 | 0 |
_aOmar Soliman , _eSupervisor |
|
| 856 | _uhttp://172.23.153.220/th.pdf | ||
| 905 |
_aEnas _eCataloger |
||
| 905 |
_aNazla _eRevisor |
||
| 942 |
_2ddc _cTH |
||
| 999 |
_c71385 _d71385 |
||