INTERACTIVE CLASSIFICATION ORIENTED SUPERRESOLUTION OF MULTISPECTRAL IMAGES

被引：0

作者：

Ruiz, P. ^{[1
]}

Talents, J. V. ^{[2
]}

Mateos, J. ^{[1
]}

Molina, R. ^{[1
]}

Katsaggelos, A. K. ^{[3
]}

机构：

[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain

[2] Univ Valencia, IPL, Valencia 46071, Spain

[3] Northwestern Univ, Dept Elect Engn & Comp Sci, Evanston, IL 60208 USA

来源：

SCIENCE: IMAGE IN ACTION | 2012年

关键词：

Pansharpening; super-resolution; classification; LDA; SVM;

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Classification techniques are routinely utilized on satellite images. Pansharpening techniques can be used to provide super resolved multispectral images that can improve the performance of classification methods. So far, these pansharpening methods have been explored only as a preprocessing step. In this work we address the problem of adaptively modifying the pansharpening method in order to improve the precision and recall figures of merit of the classification of a given class without significantly deteriorating the performance of the classifier over the other classes. The validity of the proposed technique is demonstrated using a real Quickbird image.

引用

页码：77 / 85

页数：9