Locality Preserving Endmember Extraction for Estimating Green Algae Area | |
Tao, Xuanwen1; Cui, Tingwei2; Yu, Zhiqiang1; Ren, Peng1 | |
2018 | |
英文摘要 | We present a novel endmember extraction method for estimating green algae areas in Geostationary Ocean Color Imager (GOCI) multispectral images. We commence by conducting spectral dimension reduction via the locality preserving projection (LPP) that captures image spatial local characteristics. The LPP enables each projected pixel to encode local information around the original pixel. We then exploit minimum noise fraction (MNF) for reducing the noise effects from the projected pixels. We apply the N-FINDR strategy to the projected pixels for endmember extraction. We compute the abundance of each pixel with respect to the green algae endmember. The sum of all pixel abundances results in the green algae area. |
会议录 | 2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) |
会议录出版者 | IEEE |
会议录出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA |
语种 | 英语 |
资助项目 | Qingdao Applied Fundamental Research[16-5-1-11-jch] |
WOS研究方向 | Engineering ; Oceanography |
WOS记录号 | WOS:000465206800027 |
内容类型 | 会议论文 |
源URL | [http://ir.fio.com.cn:8080/handle/2SI8HI0U/24728] |
专题 | 自然资源部第一海洋研究所 |
通讯作者 | Cui, Tingwei |
作者单位 | 1.China Univ Petr East China, Coll Informat & Control Engn, Dongying, Peoples R China 2.State Ocean Adm, Inst Oceanog 1, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Tao, Xuanwen,Cui, Tingwei,Yu, Zhiqiang,et al. Locality Preserving Endmember Extraction for Estimating Green Algae Area[C]. 见:. |
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