A sub-pixel mapping algorithm based on sub-pixel/pixel spatial attraction models

被引：233
|
作者：
Mertens, Koen C.
De Baets, Bernard
Verbeke, Lieven P. C.
De Wulf, Robert R.
机构：
[1] Univ Ghent, Lab Forest Management & Spatial Informat Tech, Dept Forest & Water Management Biometr & Proc Con, B-9000 Ghent, Belgium
[2] Univ Ghent, Dept Appl Math Biometr & Proc Control, B-9000 Ghent, Belgium
来源：
INTERNATIONAL JOURNAL OF REMOTE SENSING | 2006年 / 27卷 / 15期
关键词：
D O I：
10.1080/01431160500497127
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
Soft classification techniques avoid the loss of information characteristic to hard classification techniques when handling mixed pixels. Sub-pixel mapping is a method incorporating benefits of both hard and soft classification techniques. In this paper an algorithm is developed based on sub-pixel/pixel attractions. The design of the algorithm is accomplished using artificial imagery but testing is done on artificial as well as real synthetic imagery. The algorithm is evaluated both visually and quantitatively using established classification accuracy indices. The resulting images show increased accuracy when compared to hardened soft classifications.
引用
收藏
页码：3293 / 3310
页数：18
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