Comparison of selected textural features as global content-based descriptors of VHR satellite image

Author

Drzewiecki, Wojciech ; Wawrzaszek, Anna ; Aleksandrowicz, Sebastian ; Krupinski, Michal ; Bernat, Katarzyna

Author_Institution

AGH Univ. of Sci. & Technol., Cracow, Poland

fYear

2013

fDate

21-26 July 2013

Firstpage

4364

Lastpage

4366

Abstract

The paper presents the results of the study of usefulness of selected textural features for describing the content of image chips (1024 by 1024 pixels) cut from WorldView-2 panchromatic images. Several texture analysis techniques were applied to calculate 290 different global image descriptors. These features together with 4 histogram-based characteristics formed the set of classification features. Decision trees were used to classify the images into broad land cover categories. Performance of each group of textural characteristics was assessed and compared to the results of classification based on all calculated characteristics.

Keywords

geophysical image processing; geophysical techniques; image classification; land cover; remote sensing; VHR satellite image; WorldView-2 panchromatic images; autoregressive model parameters; broad land cover categories; classification algorithm feature reduction capabilities; classification features; decision trees; global content-based descriptors; global image descriptors; histogram-based characteristics; histogram-based features; image chip content; multifractal parameters; textural features; Accuracy; Analytical models; Fractals; Image retrieval; Q measurement; Satellites; Wavelet analysis; VHR satellite images; WorldViev-2; content-based image retrieval; multifractals; textural features;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723801

Filename

6723801