Modified Hierarchical k-Nearest Neighbor Method with Application to Land-cover Classification

被引：0

作者：

Hayashi, Tatsuya ^{[1
]}

Tamukoh, Hakaru ^{[2
]}

Kubota, Ryosuke ^{[3
]}

机构：

[1] Kyushu Inst Technol, Dept Artificial Intelligence, 680-4 Kawazu, Iizuka, Fukuoka 8208502, Japan

[2] Kyushu Inst Technol, Grad Sch Life Sci & Syst Engn, 2-4 Hibikino, Kitakyushu, Fukuoka 8080196, Japan

[3] Ube Coll, Dept Intelligent Syst Engn, Natl Inst Technol, 2-14-1 Tokiwadai, Ube, Yamaguchi 7558555, Japan

来源：

INTERNATIONAL WORKSHOP ON ADVANCED IMAGE TECHNOLOGY (IWAIT) 2019 | 2019年 / 11049卷

关键词：

land-cover classification; real remote sensing image; k-nearest neighbor;

D O I：

10.1117/12.2521356

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, we propose a land-cover classification method based on a modified hierarchical k-nearest neighbor (MHkNN) algorithm to achieve a high classification accuracy. The proposed method introduces a reliability measure for each training sample, which is defined as confidence in the sample belonging to each of the considered classes. The method performs the majority voting considering not only the number of the training samples, but also their reliabilities. The classification performance of the proposed method is compared to that of the conventional land-cover classification methods. The effectiveness of the proposed method is verified by applying it to real remote sensing images.

引用

页数：4

共 5 条

[1] NEAREST NEIGHBOR PATTERN CLASSIFICATION [J].