Change detection method using a new difference image for remote sensing images

Author

Lizhong Qiu ; Lei Gao ; Yongke Ding ; Yuanxiang Li ; Heping Lu ; Wenxian Yu

Author_Institution

Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China

fYear

2013

fDate

21-26 July 2013

Firstpage

4293

Lastpage

4296

Abstract

In this paper, a change detection method using a new difference image is proposed. The spatial position of pixels in neighborhood is considered to generate the new difference image, where the unchanged class pixels can be preferably modeled by Gaussian distribution. The Kittler and Illingworth threshold algorithm is used to perform the final change detection results. Experimental results on multi-temporal remote sensing images confirm the effectiveness of the proposed method.

Keywords

Gaussian distribution; geophysical image processing; remote sensing; Gaussian distribution; Kittler-Illingworth threshold algorithm; change detection method; change detection results; difference image; remote sensing images; spatial pixel position; unchanged class pixels; Change detection algorithms; Classification algorithms; Earth; Histograms; Remote sensing; Satellites; Synthetic aperture radar; Change detection; Kittler and Illingworth threshold algorithm; new difference image; remote sensing image;

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.2013.6723783

Filename

6723783