Fusion of Hyperspectral and LiDAR Data for Landscape Visual Quality Assessment
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: 2014DOI: 10.1109/JSTARS.2014.2313356
Keyword(s): geophysical image processing,hyperspectral imaging,image classification,image fusion,regression analysis,remote sensing by laser beam,depth images,fused hyperspectral-LIDAR data,image classification,landscape visual quality assessment,least absolute shrinkage and selection operator regression,remote sensing data,Feature extraction,Hyperspectral imaging,Laser radar,Quality assessment,Visualization,Hyperspectral data,landscape visual quality,least absolute shrinkage and selectio
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Fusion of Hyperspectral and LiDAR Data for Landscape Visual Quality Assessment
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| contributor author | Yokoya, Naoto | |
| contributor author | Nakazawa, Susumu | |
| contributor author | Matsuki, Tomohiro | |
| contributor author | Iwasaki, Akira | |
| date accessioned | 2020-03-12T23:56:20Z | |
| date available | 2020-03-12T23:56:20Z | |
| date issued | 2014 | |
| identifier issn | 1939-1404 | |
| identifier other | 6783690.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1128718?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Fusion of Hyperspectral and LiDAR Data for Landscape Visual Quality Assessment | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8308933 | |
| subject keywords | geophysical image processing | |
| subject keywords | hyperspectral imaging | |
| subject keywords | image classification | |
| subject keywords | image fusion | |
| subject keywords | regression analysis | |
| subject keywords | remote sensing by laser beam | |
| subject keywords | depth images | |
| subject keywords | fused hyperspectral-LIDAR data | |
| subject keywords | image classification | |
| subject keywords | landscape visual quality assessment | |
| subject keywords | least absolute shrinkage and selection operator regression | |
| subject keywords | remote sensing data | |
| subject keywords | Feature extraction | |
| subject keywords | Hyperspectral imaging | |
| subject keywords | Laser radar | |
| subject keywords | Quality assessment | |
| subject keywords | Visualization | |
| subject keywords | Hyperspectral data | |
| subject keywords | landscape visual quality | |
| subject keywords | least absolute shrinkage and selectio | |
| identifier doi | 10.1109/JSTARS.2014.2313356 | |
| journal title | Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of | |
| journal volume | 7 | |
| journal issue | 6 | |
| filesize | 1191760 | |
| citations | 1 |