Application of Support Vector Machines to airborne hyperspectral image classification
碩士 === 國立中興大學 === 土木工程學系所 === 96 === Airborne hyper-spectral remote sensing relative to the traditional techniques of remote sensing can acquire real-time information of the surface of the earth with less influence from cloud obstruction due to its lower flying height, and has been broadly applied i...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/61820302757536982069 |