Circular object recognition from satellite images

Author

Taud, Hind ; Herrera-Lozada, Juan Carlos ; Álvarez-Cedillo, Jesús Antonio ; Marciano-Melchor, Magdalena ; Silva-Ortigoza, Ramón ; Olguín-Carbajal, Mauricio

Author_Institution

Centro de Innovacion y Desarrollo Tecnol. en Computo, Inst. Politec. Nac., Mexico City, Mexico

fYear

2012

fDate

22-27 July 2012

Firstpage

2324

Lastpage

2327

Abstract

Pattern recognition has been the object of interest for many researchers in different fields. In remote sensing, geo-spatial patterns such as circular structures can be observed from satellite imagery and aerial photographs. Recognizing circular structures is difficult in remote sensing imagery. In this article, a detection method of circular forms in satellite image is investigated. Based on Adaboost and Haar features, the method is a machine learning technique. Training data sets are extracted from GoogleEarth. Experiments and results are provided.

Keywords

Haar transforms; artificial satellites; learning (artificial intelligence); object recognition; pattern recognition; remote sensing; Adaboost; GoogleEarth; Haar feature; aerial photograph; circular object recognition; circular structure; geo-spatial pattern; machine learning technique; pattern recognition; remote sensing imagery; satellite images; training data set; Feature extraction; Image segmentation; Machine learning; Machine learning algorithms; Pattern recognition; Remote sensing; Satellites; Adaboost; Haar features; circular; learning technique; pattern recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International

Conference_Location

Munich

ISSN

2153-6996

Print_ISBN

978-1-4673-1160-1

Electronic_ISBN

2153-6996

Type

conf

DOI

10.1109/IGARSS.2012.6351029

Filename

6351029