Supervised vs Unsupervised Approaches for Real Time Hyperspectral Imaging Maritime Target Detection

被引：0

作者：

Freitas, Sara ^{[1
]}

Silva, Hugo ^{[1
]}

Almeida, Jose ^{[1
]}

Martins, Alfredo ^{[1
]}

Silva, Eduardo ^{[1
]}

机构：

[1] Polytech Inst Porto, ISEP Sch Engn, INESC TEC Inst Syst & Comp Engn, Technol & Sci, P-4249015 Porto, Portugal

来源：

2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) | 2018年

关键词：

FOOD QUALITY; SAFETY;

D O I：

暂无

中图分类号：

U6 [水路运输]; P75 [海洋工程];

学科分类号：

0814 ; 081505 ; 0824 ; 082401 ;

摘要：

This paper addresses the use of supervised and unsupervised methods for classification of hyperspectral imaging data in maritime border surveillance domain. In this work supervised (SVM) and unsupervised (HYDADE) approaches were implemented. An evaluation benchmark was performed in order to compare methods results using real hyperspectral imaging data taken from an Unmanned Aerial Vehicle in maritime border surveillance scenario.

引用

页数：6

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