title: [Research on airborne hyperspectral identification of red tide organism dominant species based on SVM].
abstract: Airborne hyperspectral identification of red tide organism dominant species can provide technique for distinguishing red tide and its toxin, and provide support for scaling the disaster. Based on support vector machine(SVM), the present paper provides an identification model of red tide dominant species. Utilizing this model, the authors accomplished three identification experiments with the hyperspectral data obtained on 16th July, and 19th and 25th August, 2001. It is shown from the identification results that the model has a high precision and is not restricted by high dimension of the hyperspectral data.
authors.affiliation: First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Ma
authors.forename: Jie
authors.initials: J
authors.lastname: Zhang
authors.forename: Ting-wei
authors.initials: TW
authors.lastname: Cui
mesh_terms: D000465:Algorithms; D004784:Environmental Monitoring; D056890:Eukaryota / Q000737:chemistry / Q000145:classification; D057097:Harmful Algal Bloom; D013057:Spectrum Analysis