完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lee, Meng-Chueh | en_US |
dc.contributor.author | Ma, Kenneth-Yeonkong | en_US |
dc.contributor.author | Ouyang, Yen-Chieh | en_US |
dc.contributor.author | Mang Ou-Yang | en_US |
dc.contributor.author | Guo, Horng-Yuh | en_US |
dc.contributor.author | Liu, Tsang-Sen | en_US |
dc.contributor.author | Chen, Hsian-Min | en_US |
dc.contributor.author | Wu, Chao-Cheng | en_US |
dc.contributor.author | Chang, Chgein-I | en_US |
dc.date.accessioned | 2019-04-02T06:04:24Z | - |
dc.date.available | 2019-04-02T06:04:24Z | - |
dc.date.issued | 2018-01-01 | en_US |
dc.identifier.issn | 2153-6996 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/150850 | - |
dc.description.abstract | Phalaenopsis is a significant agriculture product with high economic value in Taiwan. However, the fusarium wilt causes Phalaenopsis leaves turning yellow, thinning, water loss, and finally died. This paper presents an emerging method to detect fusarium wilt on Phalaenopsis stem base. In order to build the detection models, the hyperspectral databases are generated form two statues of Phalaenopsis samples, which are health and disease sample. We applied band selection (BS) processing base on band prioritization (BP) and band de-correlation (BD) to extract the significant bands and eliminate the redundant bands. Then, three algorithms were used, orthogonal subspace projection (OSP), constrain energy minimization (CEM), and support vector machine (SVM) to detect the fusarium wilt. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Hyperspectral image | en_US |
dc.subject | Phalaenopsis | en_US |
dc.subject | fusarium wilt | en_US |
dc.subject | Band selection | en_US |
dc.subject | OSP | en_US |
dc.subject | CEM | en_US |
dc.subject | SVM | en_US |
dc.title | DETECTION OF FUSARIUM WILT ON PHALAENOPSIS STEM BASE REGION USING BAND SELECTION TECHNIQUES | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | en_US |
dc.citation.spage | 2777 | en_US |
dc.citation.epage | 2780 | en_US |
dc.contributor.department | 電機工程學系 | zh_TW |
dc.contributor.department | Department of Electrical and Computer Engineering | en_US |
dc.identifier.wosnumber | WOS:000451039802215 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |