Comparison of a new algorithm with the supervised classifications

被引：8

作者：

Emrahoglu, N ^{[1
]}

Yegingil, I ^{[1
]}

Pestemalci, V ^{[1
]}

Senkal, O ^{[1
]}

Kandirmaz, HM ^{[1
]}

机构：

[1] Cukurova Univ, Dept Phys, Adana, Turkey

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2003年 / 24卷 / 04期

关键词：

D O I：

10.1080/01431160210145597

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

In this study, a new classification algorithm in which only the selected pixels have been attempted to be classified (selected pixels classification: SPC) has been introduced and compared with the well known supervised classification methods such as maximum likelihood, minimum distance, nearest neighbour and condensed nearest neighbour. To examine the algorithm, Landsat Thematic Mapper (TM) data have been used to classify the crop cover in the selected region. It is clearly demonstrated that the SPC method has the higher accuracy with comparable CPU times.

引用

页码：649 / 655

页数：7

共 13 条

[1]

BENELLI G, 1987, WORKSH REM SENS TECH

[2] NEAREST NEIGHBOR PATTERN CLASSIFICATION [J].